19 - 22 July 2016 Universidade NOVA de

iV2016 - 20th International Conference Information Visualisation 19 - 22 July 2016

Universidade NOVA de Lisboa ● Lisbon ● Portugal ●

http://www.graphicslink.co.uk/IV2016/ http://www.unl.pt/

© "Shadow Whispers" - Thomas Porett

T h e B o o k A b s t r a c t s

http://www.graphicslink.co.uk/IV2016/


http://www.unl.pt/

© "Maestro” - Corinne Whitacker

iV2016 & cgiv2016 - DIGITAL ART GALLERY Online Exhibition July 2016- June 2017

V I R T U A L G A L L E R Y V E N U E

www.g raph ic s l i nk .c o .uk /DART.h tm

Exhibiting Artists:

Anabela Costa

Bogdan Soban

Christine Kreschollek

Corinne Whitaker

Cris Orfescu

Dena Elisabeth Eber

Elizabeth Cornell

Gabriele Peters

Galt Tomassino

Gloria DeFilipps Brush

Jean Constant

Jing Zhou

John Corbett

John Antoine Labadie

Joohyun Pyune

Khan Shakil Akram

Lane Last

Mark Stock

Mohammad Majid Al-Rifaie

Moises Gomez

Shin Jun Bum

David Shir

Teja Krasek

Thomas Porett

Ying Tan

Yvonne Love

© “ Living Mandala: The Cosmic of Being~

Jing Zhou


iV2016 _ Doctoral Research Workshop

iV2016 Forum - ii

1 0 t h D o c t o r a l R e s e a r c h W o r k s h o p I n f o r m a t i o n V i s u a l i s a t i o n

Organised by

Information Visualisation Conference In cooperation with

&

The Information Visualisation Conference (iV) is an international conference that aims to provide a foundation for integrating the human-centred, technological and strategic aspects of information visualisation in order to promote international

exchange, cooperation and development. Building upon the reported success of last year’s workshop, IVS is pleased to announce the “10th Doctoral Research Workshop” which will run as part of the 20th International Conference on Information Visualisation (iV2016).

Doctoral Research workshop This workshop focuses on the issues that doctoral students face during their studies and includes following interactive

sessions – the theme for this year workshop – Impact Designfor your research -


iV2016_PROGRAMME

iV2016 Forum iii

Tuesday 19 July 2016 09:00 < Universidade NOVA de Lisboa ● R-Atrium >

Registration

10:00

-

13:00

< Universidade NOVA de Lisboa ● SBE-217 >

Visualization & Data Mining for High Dimensional Datasets Alfred Inselberg School of Mathematical Sciences, Tel Aviv University, Tel Aviv, Israel

A dataset with M items has 2M subsets anyone of which may be the one fullfiling our objectives. With a good data display and interactivity our fantastic pattern-recognition can not only cut great swaths searching through this combinatorial explosion, but also extract insights from the visual patterns. These are the core reasons for data visualization. With parallel coordinates (abbr. k-cs) the search for relations in multivariate datasets is transformed into a 2-D pattern recognition problem. The foundations are developed interlaced with applications. Guidelines and strategies for knowledge discovery are illustrated on several real datasets (financial, process control, credit-score, intrusion-detection etc) one with hundreds of variables. A geometric classification algorithm is presented and applied to complex datasets. It has low computational complexity providing the classification rule explicitly and visually. The minimal set of variables required to state the rule (features) is found and ordered by their predictive value. Multivariate relations can be modeled as hypersurfaces and used for decision support. A model of a (real) country’s economy reveals sensitivies, impact of constraints, trade-offs and economic sectors unknowingly competing for the same resources. An overview of the methodology provides foundational understanding; learning the patterns corresponding to various multivariate relations. These patterns are robust in the presence of errors and that is good news for the applications. We stand at the threshold of breaching the gridlock of multidimensional visualization. The parallel coordinates methodology has been applied to collision avoidance and conflict resolution algorithms for air traffic control (3 USA patents), computer vision (1 USA patent), data mining (1 USA patent), optimization, decision support and elsewhere.

KEYWORDS: Exploratory Data Analysis , Classification for Data Mining , Multidimensional Visualization , Parallel Coordinates , Multidimensional/Multivariate Applications

13:00 < Universidade NOVA de Lisboa ● R-Atrium >

Lunch Break

14:00

-

17:00


Doctoral Research Workshop

14.00 Opening & Welcome from discussion Panel members

14:15 Designing Research Impact

15:10 Set impact goals for a specific research project and devise strategies to achieve these

15:30 Break

16:00 Generate number of action points for generating impact from your research

Able to explain how to measure impact

Make Impact a key section of your Research

16:45 Group Discussion

17:00 Close


iV2016_PROGRAMME

iV2016 Forum iv

Wednesday 20 July 2016


Registration

10:00 < Universidade NOVA de Lisboa ● R-Audi.B >

Opening & Welcome

Subject Liaison Committee chairs:

Prof. Doutor Fernando Santana, Dean of faculty FCT / Uiversidade NOVA de Lisboa, Portugal Prof. João Moura Pires (Chair) - FCT / Uiversidade NOVA de Lisboa, Portugal

Prof. Ebad Banissi, London South Bank University, United Kingdom


Session iV2016_1.1: Information Visualisation

Chair: Randolph George Goebel, University of Alberta, Canada

<keynote Lecture> Visualization and Data Mining for High Dimensional Data Alfred Inselberg Tel Aviv University, Israel


Coffee Break


iV2016_PROGRAMME

iV2016 Forum v

Wednesday 20 July 2016 12:00

-

13:00

< Universidade NOVA de Lisboa ● R-Audi.B >

Session iV2016_1.2: Visual Analytics Chair: Dr. Mark Bannatyne, IUPUI, United States of America Why Visualization is an AI-Complete Problem (and why that matters)

Randolph George Goebel

University of Alberta, Canada

Rainbow boxes: a technique for visualizing overlapping sets and an application to the comparison of drugs properties

Jean-Baptiste Lamy1, Hélène Berthelot1, Madeleine Favre2,3 1LIMICS Université Paris 13 - Sorbonne Paris Cité, 93017 Bobigny, INSERM UMRS 1142, UPMC Université Paris 6, Sorbonne Universités, Paris, France; 2Université Paris Descartes, Faculté de Médecine, Département de Médecine Générale, Paris, France; 3Société de Formation Thérapeutique du Généraliste (SFTG), Paris, France

Mapping the First World War Using Interactive StreamGraphs

Alaa Abi Haidar, Bin Yang, Jean-Gabriel Ganascia

UPMC . LIP6 . CNRS, France

13:00 < Universidade NOVA de Lisboa ● R-Atrium > Lunch Break

14:25

-

15:30


Session iV2016_1.3: Information Visualisation - Theory &

Techniques Chair: Alfred Inselberg, Tel Aviv University, Isreal

Adaptive Blending of Multiple Network Layouts for Overlap-Free Labeling

Rie Ishida1, Shigeo Takahashi2, Hsiang-Yun Wu3 1The University of Tokyo, Japan; 2University of Aizu, Japan; 3Keio University, Japan

Categorizing Issues in Mid-Air InfoVis Interaction

Brunelli Pinto Miranda, Nikolas Jorge Santiago Carneiro, Tiago Davi Oliveira de Araujo, Carlos Gustavo Resque dos Santos, Alexandre Abreu de Freitas, Bianchi Serique Meiguins

Universidade Federal do Pará, Brazil

Development View and Cut Generation of 3D Object Surface for Simulating Haptic Feedback with 2D Lateral Force

Kikuo Asai1, Norio Takase2, Makoto Sato3 1The Open University of Japan, Japan; 2Isogosoft; 3Tokyo Institute of Technology


Session iV2016_1.4: Visualization, Art, and Design Chair: Theodor Wyeld, Flinders University, Australia

Case Studies of Digital and Media Art 56°56′51″N 24°6′23″E

Solvita Zarina

Institute of Mathematics and Computer Science, University of Latvia, Latvia

PoI Awareness, Relevance and Aggregation for Augmented Reality

Maria Beatriz Carmo1, Ana Paula Afonso2, António Ferreira2, Ana Paula Cláudio1, Gonçalo Silva1 1BioISI-Faculty of Sciences, University of Lisboa, Portugal; 2LaSIGE-Faculty of Sciences, University of

Lisboa, Portugal

Insertion of surprise elements in the collaborative learning process through graphic representations for synthesis (GRS): a qualitative study

Juliana Bueno, Stephania Padovani

Federal University of Paraná, Brazil


iV2016_PROGRAMME

iV2016 Forum vi


-

15:30


Session iV2016_1.5: Information Visualisation - Usability & Evaluation

Chair: Prof. Ebad banissi, London South bank University, United Kingdom

A low level Evaluation of Head-Tracker and Speech Commands Interactions in Information Visualization Tasks

Carlos Gustavo Resque dos Santos, Alexandre Freitas, Brunelli Pinto Miranda, Nikolas Jorge Santiago Carneiro, Tiago Davi Oliveira de Araújo, Anderson Soares, Bianchi Serique Meiguins


A User Study on Multivariate Edge Visualizations for Graph-based Visual Analysis Tasks

Sebastian Schöffel, Johannes Schwank, Achim Ebert

Computer Graphics & HCI Group, University of Kaiserslautern, Germany

Multi-Device Visualisation Design for Climbing Self-Assessment

Christina Niederer, Alexander Rind, Wolfgang Aigner

St. Pölten University of Applied Sciences, Austria

15:30 < Universidade NOVA de Lisboa ● R-Atrium > Coffee Break


iV2016_PROGRAMME

iV2016 Forum vii


-

17:10


Session iV2016_1.6: Information Visualisation Theory &

Practice Chair: Prof. John Andrew Berton, Drexel University, United States of

America Tree Visualizations in Structured Data Recursively Defined by the Aleph Data Relation

H. Paul Zellweger

ArborWay Labs, United States of America

Word-Clouds in the Sky: Multi-layer Spatio-temporal Event Visualization from a Geo-parsed Microblog Stream

Masahiko Itoh2,1, Naoki Yoshinaga2,1, Masashi Toyoda2 1National Institute of Information and Communications Technology, Japan; 2The University of Tokyo,

Japan

A Design Tool of Color Schemes on the CIELAB Space

Kazuo Misue, Hatsune Kitajima

University of Tsukuba, Japan


Session iV2016_1.7: Geometric Modeling & Imaging Chair: Dr. Maria Beatriz Carmo, BioISI-Faculty of Sciences, University of

Lisboa, Portugal Visualization of Constrained Data Using Trigonometric Splines

Farheen Ibraheem1, Malik Zawwar Hussain2 1University of Central Punjab, Pakistan; 2University of the Punjab, Lahore, Pakistan

An Inpainting Result by a Nonlinear Structure Tensor

Mounder Benseghir1, Fatma Zohra Nouri1, Pierre Clovis Tauber2 1LAM2SIN Badji Mokhatr University, Algeria; 2UMRS INSERM U930 - Université François Rabelais de Tours, France

Short papers New 3D Education Technology for Students with Delimited Ability

Eva Pajorova, ladislav Hluchy

Slovak Academy of Sciences, Slovak Republic

The Invisible Interface: Traditional Design Principles in Modern Electronic Design

Jonathan Hounshell, Todd Emma

East Tennessee State University, United States of America

16:00

-

17:10


Session iV2016_1.8: Information Visualisation – Applications Chair: Prof. Rui Borges Lopes, University of Aveiro, Portugal

An enactive based realtime 3D self-organization system for the exploration of a cultural heritage data base

Landy Rajaonarivo, Eric Maisel, Pierre De Loor

ENIB/CERV, France

The Visualisation of Cognitive Structures in Forensic Statements Jing Wang1, Yufang Ho2, Zhijie Xu1, Dan McIntyre2, Jane Lugea2 1School of Computing and Engineering, University of Huddersfield, UK; 2School of Music, Humanities and Media, University of Huddersfield, United Kingdom

Sketch based Picture-Collage Generation Using Evolutionary Computation

Satoshi Yonemoto, Tsukasa Okuda

Kyushu Sangyo University, Japan


iV2016_PROGRAMME

iV2016 Forum viii

Wednesday 20 July 2016

17:20

–

17:50

< Universidade NOVA de Lisboa ● R-Audi.B > Session iV2016_1.9: Animation, Special Effects and Multimedia Show Chair: Prof. Mark Bannatyne, IUPUI, United States of America

19:00

-

20:30

Wednesday 20th July 2016

Visualisation Social Networking Event

Conference Cultural walk

Enjoy an unforgettable walk along one of the Lisbon´s 7 hills, under its unique and famous light. Discover old monuments, like the St. Jorge's castle and the amazing view of Tagus river through the words of experienced guides at S. Pedro de Alcântara view point. Then, slowly stroll down Chiado, pombaline downtown and arrive at Terreiro do Paço, the square that welcomes every visitor with arms wide open. After that you are on your own - Lisbon night awaits!

Meeting point - Jardim Príncipe Real at 19:00 (20th July) Bus Departing from the Conference: 18:20 (20th July) Walk Duration: (around) 90 min Infos: around 2.4 Km, easy walk, most part going down. Recommendation: Light clothing and appropriate footwear to walk in Lisbon. Bring a sweater for the early evening. *Required registration at conference registration desk*

www.graphicslink.co.uk/IV2016/socialevents.htm#culturalwalk


http://www.graphicslink.co.uk/IV2016/socialevents.htm#culturalwalk

iV2016_PROGRAMME

iV2016 Forum ix

Thursday 21 July 2016 09:00 < Universidade NOVA de Lisboa ● R-Atrium >

Registration 09:30

-

11:30


Session iV2016_2.1: Information Visualisation – Theory &

Techniques Chair: Dr. Bianchi Serique Meiguins, Federal University of Para, Brazil

Native Cross-platform Visualization: A Proof of Concept Based on the Unity3D Game Engine

Markus Wagner1, Kerstin Blumenstein1, Alexander Rind1, Markus Seidl1, Grischa Schmiedl1, Tim Lammarsch2, Wolfgang Aigner1 1St. Poelten University of Applied Sciences, Austria; 2MODUL University Vienna, Austria

Visualizing Uncertainty of Edge Attributes in Node-Link Diagrams

Johannes Schwank, Sebastian Schöffel, Jan Stärz, Achim Ebert

Computergraphics & HCI Group, University of Kaiserslautern, Germany

Lyrics Word Clouds

Michael Burch1, Tobias Fluck2, Julian Freund2, Thomas Walzer2, Uwe Kloos2, Daniel Weiskopf1 1VISUS, Germany; 2University of Reutlingen, Germany

Enhancing Polymetric Views with Coarse-Grained Views

Rita Francese1, Michele Risi1, Giuseppe Scanniello2, Genoveffa Tortora1 1University of Salerno, Italy; 2University of Basilicata, Italy

Short papers

Geographic Visualization of Solar Radiation Flux Data for Teaching Purposes

Chris Harding

Iowa State University, United States of America


Session iV2016_2.2: Info Vis - General Chair: Prof. Mark Bannatyne, IUPUI, USA

On Edge Bundling and Node Layout for Mutually Connected Directed Graphs

Naoko Toeda1, Rina Nakazawa1, Takayuki Itoh1, Takafumi Saito2, Daniel W. Archambault3 1Ochanomizu University, Japan; 2Tokyo University of Agriculture Technology, Japan; 3Swansea University, United Kingdom

Facial Feature Extraction and Recognition for Traditional Chinese Physiognomy

Yujie Liu1, Mao Lin Huang1,2 1Tianjin University; 2University of Technology, Sydney, Australia

NEW PARADIGM OF SOCIAL POSTER EMBEDDING UNEXPECTED GRAPHIC PATTERN FOR THE ONGOING ISSUE, RADIATION CONTAMINATION IN FUKUSHIMA Jun Bum Shin

Oregon State University, United States of America

Finger Painting – Bootstrapping and Articulating Finger Haptic I/O on a Touchscreen

Hsin Hsin Lin

INFOTECH Research & Consultancy, Singapore


iV2016_PROGRAMME

iV2016 Forum x

Thursday 21 July 2016

09:30

-

11:30


Session iV2016_2.3: Human computer interaction for Information Visualization Chair: Dr. Mariko Sasakura, Okayama University, Japan

Effectiveness of Audio Information for Note-taking and Learning Activities during a Fully Online Course

Minoru Nakayama1, Kouichi Mutsuura2, Hiroh Yamamoto2 1Tokyo Institute of Technology, Japan; 2Shinshu University, Japan

Promoting insight: A Case Study of How to Incorporate Interaction in Existing Data Visualizations

Ilo Aguiar Reginaldo Alexandre

FCSH - Universidade Nova de Lisboa, Portugal

Using Video Tutorials to Reduce Cognitive Load and Frustration for Early Learners of 3D Maya: a comparative case study discussion on knowledge visualisation modes.

Theodor Wyeld

Flinders University, Australia

Visualising Human Motion: a First Principles Approach using Vicon data in Maya

Theodor Wyeld, David Hobbs


Short papers HMD-Enabled Virtual Screens as Alternatives to Large Physical Displays

Andreas Schneider, Daniel Cernea, Achim Ebert

Computer Graphics & HCI, University of Kaiserslautern, Germany

Effects of Very High Frame Rate Display in Narrative CGI Animation

John Andrew Berton

Drexel University, United States of America


Coffee Break


iV2016_PROGRAMME

iV2016 Forum xi


12:00

-

13:00

< Universidade NOVA de Lisboa ● R-Audi.B >

Session iV2016_2.4: BioMedical Visualization Chair: Prof. Gilles Venturini, University Francois Rabelais of Tours, France

A Threshold Structure Metric for Medical Image Interrogation: The 2D Extension of Approximate Entropy

Christopher John Moore

The Christie NHS Foundation Trust, United Kingdom

Visualization of sRNA-mRNA interaction predictions

Joris Sansen, Patricia Thébault, Isabelle Dutour, Romain Bourqui

University of Bordeaux, France

Interactive visualization of large-scale gene expression data

Maria Riveiro1, Mikael Lebram1, Christian X. Andersson2, Peter Sartipy3, Jane Synnergren1 1University of Skövde, Skövde, Sweden; 2Takara Bio Europe, Gothenburg, Sweden; 3Astra Zeneca,Mölndal, Sweden


Lunch Break


iV2016_PROGRAMME

iV2016 Forum xii


14:25

-

15:30


Session iV2016_2.5: BioMedical Visualization Chair: Chair: Harri Siirtola, University of Tampere, Finland

Data Driven GUI Design and Visualization for a NGS based Clinical Decision Support System

Heimo Mueller1, Doris Ulrich2, Robert Reihs1,3, Kurt Zatloukal1,3 1Medizinische Universitaet Graz, Austria; 2FH Joanneum; 3BBMRI. Austria

Type P63 Non-Counter Stained Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis

T. M. Shahriar Sazzad, L. J. Armstrong, A. K. Tripathy

ECU, Australia


Session iV2016_2.7: Information Visualization Chair: Dr. Hsiang-Yun Wu, Keio University, Japan

Time-Varying Data Visualization Using Clustered Heatmap and Dual Scatterplots

Satsuki Kumatani1, Takayuki Itoh1, Yousuke Motohashi2, Keisuke Umezu2, Masahiro Takatsuka3 1Ochanomizu University, Japan; 2NEC Corporation, Japan; 3The University of Sydney, Australia

Drawing Clustered Graphs Using Stress Majorization and Force-directed Placements

Yu-Jung Ko, Hsu-Chun Yen

National Taiwan University, Taiwan, Republic of China

A Scatterplot-based Visualization Tool for Regression Analysis

Chie Suzuki1, Takayuki Ito1, Keisuke Umezu2, Yousuke Motohashi2 1Ochanomizu University, Japan; 2NEC, Japan

14:15

-

15:35


Session iV2016_2.6: Cultural Heritage Knowledge Visualisation Chair: Theodor Wyeld, Flinders University, Australia A Multi-Level Visualization Scheme for Poetry

Adiel Mittmann, Aldo von Wangenheim, Alckmar Luiz dos Santos

Federal University of Santa Catarina, Brazil

Using Micro-Visualisations to Support Faceted Filtering of Recommender Results

Gerwald Tschinkel1, Robert Hafner2, Peter Hasitschka2, Vedran Sabol1,2 1Know Center Gmbh, Austria; 2Graz University of Technology, Austria

Visual corpus interface – putting text visualizations at use

Verena Lyding1, Michel Généreux2 1EURAC research, Bolzano/Bozen, Italy; 2McMaster University, Hamilton, Canada

Interactive Text Visualization with Text Variation Explorer

Harri Siirtola1, Poika Isokoski1, Tanja Säily2, Terttu Nevalainen2 1University of Tampere, Finland; 2University of Helsinki, Finland


iV2016_PROGRAMME

iV2016 Forum xiii



Coffee Break 16:00

-

17:00


Session iV2016_2.8: VA-Information Visualisation –

Applications Chair: Prof. João Moura Pires, FCT, Univ. NOVA de Lisboa, Portugal APoD eXplorer: Recommendation System and Interactive Exploration of a Dynamic Image Collection

Frederic Rayar1, Sabine Barrat1, Fatma Bouali1,2, Gilles Venturini1 1University François Rabelais of Tours, France; 2University of Lille, IUT, Dpt STID, Lille, France

Mobile Solution for Brain Visualization Using Augmented and Virtual Reality

José Soeiro1, Ana Paula Cláudio1, Maria Beatriz Carmo1, Hugo Alexandre Ferreira2 1BioISI– Biosystems & Integrative Sciences Institute, University of Lisboa, Faculty of Sciences, Campo Grande, Lisboa, Portugal; 2Institute of Biophysics and Biomedical Engineering, University of Lisboa,

Faculty of Sciences, Campo Grande, Lisboa, Portugal

A client-server framework for the design of geo-location based augmented reality applications

Nicola Capece, Roberto Agatiello, Ugo Erra

Università della Basilicata - Dipartimento di Matematica e Informatica, Italy


Session iV2016_2.9: Visual Data Mining and Analytics Chair: Michael Burch, VISUS, Germany

A Need for Exploratory Visual Analytics in Big Data Research and for Open Science

Yuzuru Tanaka, Jonas Sjobergh, Keisuke Takahashi

Hokkaido University, Japan

Support citizens in Visualising Open Data

Donato Pirozzi, Vittorio Scarano

Dipartimento di Informatica, Università degli Studi di Salerno, Italy

Visual Data Analysis for Hydrological Cycle Classification Based on Physico-Chemical Parameters

Michell Costa Oliveira da Cruz, Brunelli Miranda, Marissa Brasil, Jefferson Magalhães de Morais, Bianchi Serique Meiguins


16:00

-

17:00



Chair: Ebad Banissi, London South Bank University, United Kingdom

A Review of Ways and Strategies on How to Collaborate in Information Visualization Applications

Nikolas Jorge Santiago Carneiro, Anderson Gregorio Marques Soares, Carlos Gustavo Resque dos Santos, Tiago Davi Oliveira de Araujo, Brunelli Pinto Miranda, Alexandre Abreu de Freitas, Sandro de Paula Mendonça, Jefferson Magalhães de Morais, Bianchi Serique Meiguins


New 3D Visualization and Validation Tool for Displaying Association Rules and Their Associated Classifiers

Mohamed Sami Ounifi1, Hamida Amdouni2, Rafika Ben Elhoussine1, Hammoudi Slimane3 1ISAMM, University of Manouba, Tunisia; 2ESEN, University of Manouba, Tunisia; 3ESEO, Angers, France

Smoothed Multiple Binarization - using PQR tree, smoothing, feature vectors and thresholding for matrix reordering

Bruno Figueiredo Medina, Willian Hitoshi Kawakami, Celmar Guimarães da Silva, Maressa Rodrigues da Silva

University of Campinas - School of Technology, Brazil


iV2016_PROGRAMME

iV2016 Forum xiv


17:15

< Universidade NOVA de Lisboa ● SBE-217 > iV2016 - Committee Members Meeting

20:00

Thursday 21st July 2016 -

Visualisation Social Networking Event

Conference Dinner

The conference dinner will take place on Casa do Alentejo. Situated downtown Lisbon, Casa do Alentejo is a true representation of the South of Portugal in Lisbon. It is installed in an old mansion with beautiful decoration of Arab traits. Besides the good regional food, you will enjoy your meal listen to Fado music, one of the landmarks in the scene of the Portuguese musical patrimony. Menu: Creamy shrimp soup Lagareiro Style Octopus (with garlic and olive oil) Veal Rump steak with mustard sauce Sericaia with Elvas plums

www.graphicslink.co.uk/IV2016/socialevents.htm#galadinner


http://www.graphicslink.co.uk/IV2016/socialevents.htm#galadinner

iV2016_PROGRAMME

iV2016 Forum xv

Friday 22 July 2016


Registration 09:30

-

11:15


Session iV2016_3.1: 2.3 Information Visualization

Evaluation Chair: Prof. Kazuo Misue, University of Tsukuba, Japan

Visualization of Music Plagiarism: Analysis and Evaluation

Roberto De Prisco1, Nicola Lettieri2, Delfina Malandrino1, Donato Pirozzi1, Gianluca Zaccagnino1, Rocco Zaccagnino1 1University of Salerno, Italy; 2ISFOL, Rome, Italy

Evaluation of Sketchiness as a Visual Variable for 2.5D Treemaps

Daniel Limberger, Carolin Fiedler, Sebastian Hahn, Matthias Trapp, Jürgen Döllner

Hasso Plattner Institute, University of Potsdam, Germany

Zoo Graph - a New Visualisation for Biometric System Evaluation Romain Giot1, Romain Bourqui1, Mohamad El-Abed2 1Univ. Bordeaux / LaBRI, France; 2Rafik Hariri University, Lebanon


Session iV2016_3.2: Information Visualisation –

Applications Chair: Prof. Teresa Romão, FCT, Univ. NOVA de Lisboa, Portugal

LibViews - An Information Visualization Application for Third-Party Libraries on Software Projects

Juliana Ferrarezi1, Mário Popolin Neto1,2, Diego Roberto Colombo Dias3, Marcelo de Paiva Guimarães4, José Remo Ferreira Brega1 1UNESP - Bauru, Brazil; 2IFSP - Registro, Brazil; 3UFSCAR - São Carlo, Brazil; 4UNIFESP - São Paulo,

Brazil

A Rule-based Approach for Animating Java Algorithms

Nada Ahmed Hamed Sharaf1, Slim Abdennadher1, Thom Freuhwirth2 1The German University in Cairo, Egypt; 2Ulm University, Germany

Browsing Multidimensional Visual Entities

Miguel Filipe Aniceto1, João Moura Pires2, Nuno Datia3, Ana Paula Afonso4 1Deloitte Consultores, Portugal; 2Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa

(FCT-UNL), Portugal; 3Instituto Superior de Engenharia de Lisboa (ISEL), Portugal; 4Faculdade de Ciências - Universidade de Lisboa (FCUL), Portugal


iV2016_PROGRAMME

iV2016 Forum xvi

Friday 22 July 2016

09:30

-

11:15


Session iV2016_3.3: Information Visualisation – Applications Chair: Dr. Mark Bannatyne, IUPUI, United States of America

An Interactive Interface for Multi-Dimensional Data Stream Analysis

Nuno Cavalheiro Marques, Hugo Santos, Bruno Silva

FCT/UNL, Portugal

Visual Interface and Interaction Design for self-service orders at a Restaurant

Yoshiki Shiba, Mariko Sasakura

Okayama University, Japan

Visually supporting location and routing decisions in tourist trip planning: An exploratory approach

Rui Borges Lopes1, Tiago Coelho2, Beatriz Sousa Santos3 1DEGEIT/CIDMA, University of Aveiro, Portugal; 2DETI, University of Aveiro, Portugal; 3DETI/IEETA, University of Aveiro, Portugal Short papers Exploring the Central India Art of the Gond People: contemporary materials and cultural significance

Sidharth Arur, Theodor Wyeld


Temporal Data Visualization Technique based on Treemap

Marissa Brasil de Carvalho, Bianchi Serique Meiguins, Jefferson Magalhães de Morais



Coffee Break


iV2016_PROGRAMME

iV2016 Forum xvii

Friday 22 July 2016

11:45

-

13:00

< Universidade NOVA de Lisboa ● R-Audi.B > Session iV2016_3.4: Information Visualisation Chair: Randolph George Goebel, University of Alberta, Canada Isoline-Enhanced Dynamic Graph Visualization

Michael Burch

VISUS, Germany

Feature Extraction and Visualization for Symbolic People Flow Data

Yuri Miyagi1, Masaki Onishi2, Chiemi Watanabe3, Takayuki Itoh1, Masahiro Takatsuka4 1Ochanomizu University, Japan; 2AIST, Japan; 3University of Tsukuba, Japan; 4The University of Sydney, Australia

Best Paper Awards

Close


Lunch


iV2016 _ Abstract

iV2016 - 18

Session iV2016_1.1: Information Visualisation Chair: Prof. Christopher John Moore, The Christie NHS Foundation Trust, United Kingdom

<keynote Lecture> Visualization and Data Mining for High Dimensional Data Alfred Inselberg School of Mathematical Sciences, Tel Aviv University, Isreal A dataset with M items has 2M subsets anyone of which may be the one satisfying our objective. With a good data display and interactivity our fantastic pattern-recognition defeats this combinatorial explosion by extracting insights from the visual patterns. This is the core reason for data visualization. With parallel coordinates the search for relations in multivariate data is transformed into a 2-D pattern recognition problem. We illustrate it on several real datasets (financial, process control, credit-score and one with hundreds of variables) with stunning results. A geometric classification algorithm yields the classification rule explicitly and visually. The minimal set of variables, features, are found and ordered by their predictive value. A model of a country’s economy reveals sensitivities, impact of constraints, trade-offs and economic sectors unknowingly competing for the same resources. An overview of the methodology provides foundational understanding; learning the patterns corresponding to various multivariate relations. These patterns are robust in the presence of errors and that is good news for the applications. A topology of proximity emerges opening the way for visualization in Big Data. KEYWORDS: Exploratory Data Analysis , Classification for Data Mining , Multidimensional Visualization , Parallel Coordinates , Multidimensional/Multivariate Applications

Bio-sketch Alfred Inselberg received a Ph.D. in Mathematics and Physics from the University of Illinois (Champaign-Urbana) and was Research Professor there until 1966. He held research positions at IBM, where he developed a Mathematical Model of Ear (TIME Nov. 74), concurrently having joint appointments at UCLA, USC and later at the Technion and Ben Gurion University. Since 1995 he is Professor at the School of Mathematical Sciences at Tel Aviv University. He was elected Senior Fellow at the San Diego Supercomputing Center in 1996, Distinguished Visiting Professor at Korea University in

2008 and DistinguishedVisiting Professor at National University of Singapore in 2011. Alfred invented and developed the multidimensional system of Parallel Coordinates for which he received numerous awards and patents (on Air Traffic Control, Collision-Avoidance, Computer Vision, Data Mining). The textbook Parallel Coordinates: VISUAL Multidimensional Geometry and its Applications”, Springer (October) 2009, has a ful chapter on Data Mining and was acclaimed, among others, by Stephen Hawking.

Session iV2016_1.2: Visual Analytics Chair: Dr. Mark Bannatyne, IUPUI, United States of America

Why Visualization is an AI-Complete Problem (and why that matters)

Randolph George Goebel

University of Alberta, Canada

Artificial Intelligence (AI) has infiltrated almost every scientific and social endeavour, including everything from medical research to the sociology of crowd control. But the foundation of AI continues to be based on digital representations of knowledge, and computational reasoning therewith. Because so much of modern knowledge infrastructure and social behaviour is connected to AI, understanding the role of AI in each such endeavour not only helps accelerate progress in those fields in which it applies, but also creates the challenges to extend the foundation for modern AI methods.

The simple hypothesis herein is that so-called AI-complete problems have a role in helping to articulate the appropriate integration of AI within other disciplines. With the current growth of interest in “big data” and visualization, we argue that relatively simple formal structures provide a basis for the claim that visualization is an AI-complete problem.

The value of confirming this claim is largely to encourage stronger formalizations of the visualization process in terms of the AI foundations of representation and reasoning. This connection will help ensure that relevant components of AI are appropriately applied and integrated, to provide value for a basis of a theory of visualization. The sketch of this claim here is based on the simple idea that visualization is an abstraction process, and that abstractions from partial information, however voluminous, directly confronts the non monotonic reasoning challenge; thus the need for caution in engineering visualization systems without carefully considering the consequences of visual abstraction. This is particularly important with interactive visualization, which has recently formed the basis for such fields as visual analytics. Keywords: AI-complete, interactive visual analytics, semantic complexity

Rainbow boxes: a technique for visualizing overlapping sets and an application to the comparison of drugs properties

Jean-Baptiste Lamy1, Hélène Berthelot1, Madeleine Favre2,3 1LIMICS Université Paris 13 - Sorbonne Paris Cité, 93017 Bobigny, INSERM UMRS 1142, UPMC Université Paris 6, Sorbonne Universités, Paris, France; 2Université Paris Descartes, Faculté de Médecine, Département de Médecine Générale, Paris, France; 3Société de Formation Thérapeutique du Généraliste (SFTG), Paris, France

Overlapping set visualization is a well-known problem in information visualization. This problem considers elements and sets containing all or part of the elements, a given element possibly belonging to more than one set. A typical example is the properties of the 20 amino-acids. A more complex application is the visual comparison of the contraindications or the adverse effects of several similar drugs. The knowledge involved is voluminous, each drug has many contraindications and adverse effects, some of them are shared with other drugs.

In this paper, we present rainbow boxes, a novel technique for visualizing overlapping sets, and its application to the properties of amino-acids and to the comparison of drug properties. We


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also describe a user study comparing rainbow boxes to tables and showing that the former allowed physicians to find information significantly faster. We finally discuss the limits and the perspectives of rainbow boxes. Keywords: Overlapping set visualization, Knowledge visualization, Drug properties, User study

Mapping the First World War Using Interactive StreamGraphs

Alaa Abi Haidar, Bin Yang, Jean-Gabriel Ganascia

UPMC . LIP6 . CNRS, France

In this paper, we use unsupervised named entity recognition and streamgraphs in order to visualize massive amounts of unstructured textual stream data, namely, French newspapers (e.g. Le Figaro, La presse, L’humanité) from the first world war period. Such a visualization allows us to identify main characters, events and locations involved in or relevant to the first world war, according to the French press. Furthermore, our visualization technique can help visually identify correlations between major people (e.g. presidents, generals, public figures...), locations (e.g. countries, cities, towns...) and organizations and events (e.g. corporations, battles...) on multiple aligned streamgraphs. Our method can be applied to unstructured data streams of any domain or time period.

Keywords: information extraction, named entity recognition, steamgraphs, information visualization, data mining, french presse

Session iV2016_1.3: Information Visualisation - Theory &

Techniques Chair: Prof. Alfred Inselberg, Tel Aviv University, Isreal

Adaptive Blending of Multiple Network Layouts for Overlap-Free Labeling

Rie Ishida1, Shigeo Takahashi2, Hsiang-Yun Wu3 1The University of Tokyo, Japan; 2University of Aizu, Japan; 3Keio University, Japan

Conventional force-directed algorithms are known as a common approach to aesthetically drawing networks while they still suffer from self-overlaps especially when the network nodes are annotated with text labels. Incorporating space partitioning techniques including Voronoi tessellation are often effective to spare enough space around each node while this may incur different artifacts such as unexpectedly long edges and edge overlaps. This paper presents an approach to resolving overlaps among node labels by adaptively blending multiple layout forces applied to the respective network nodes. This is accomplished by extending our previous approach for transforming the force-directed layout into that obtained through the centroidal Voronoi tessellation. Our technical contribution lies in a novel algorithm for smoothing blending ratios associated with the network nodes so that we can adaptively explore the reasonable balance between the two layouts independently for each node. Experimental results will present that our new approach can produce well-balanced distribution of node labels while maximally avoiding the aforementioned unwanted visual artifacts.

Keywords: Adaptive layout blending; force-directed graph layout; Centroidal Voronoi tessellation; smoothing.

Categorizing Issues in Mid-Air InfoVis Interaction

Brunelli Pinto Miranda, Nikolas Jorge Santiago Carneiro, Tiago Davi Oliveira de Araujo, Carlos Gustavo Resque dos Santos, Alexandre Abreu de Freitas, Bianchi Serique Meiguins


This paper presents a starting study on InfoVis interaction through mid-air gestures, using a vision based interaction device, the Leap Motion. We present the user tests conducted and the results gathered, using a 3D Scatterplot as visualization technique.

These tests aim in identify and categorize issues that can compromise InfoVis mid-air gestural interaction as a whole, not focusing on the design of the developed tool.

The test tasks and results are exposed and the issues found are categorized in Boundary Awareness, Granularity and Collision and Depth Perception.

Keywords: InfoVis, Leap Motion, Mid-Air Interaction

Development View and Cut Generation of 3D Object Surface for Simulating Haptic Feedback with 2D Lateral Force

Kikuo Asai1, Norio Takase2, Makoto Sato3 1The Open University of Japan, Japan; 2Isogosoft; 3Tokyo Institute of Technology


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We have developed a haptic visualization system for molecular docking applications in education. Although molecular docking is 3D phenomena, desktop or laptop PCs use a mouse as a common interface, which limits the manipulations to 2D. Our approach to the solution is to apply 2D lateral forces to haptic feedback using SPIDAR-mouse and to map the surface of a 3D object to the 2D plane. The SPIDAR-mouse is a simple haptic device with 2D lateral forces, which is considered suitable for educational environments. This paper describes a haptic visualization method using 2D development view and a processing method for generating cuts on the 3D object surface. The visualization system enables us to intuitively interact with a 3D object using 2D lateral force feedback.

Keywords: Haptic Visualization, 2D Lateral Force Feedback, Development View, Cut Generation

Session iV2016_1.4: Visualization, Art, and Design Chair: Theodor Wyeld, Flinders University, Australia

Case Studies of Digital and Media Art 56°56′51″N 24°6′23″E

Solvita Zarina

Institute of Mathematics and Computer Science, University of Latvia, Latvia

Contemporary media art has experienced very dynamic changes in the forms of its artistic expression, as well as in the perception of artworks by the audience and even art theoreticians. Questions about this new art form range from topics such as the unconventional nature of the elements constituting the artwork (program code, audience participation etc.), and the difficulties of displaying and preserving non-material art, to its proper place in the artistic landscape from the viewpoint of contemporary visual art. This paper aims to discuss the abovementioned

questions through several case studies of various Latvian digital and contemporary media art areas.

Keywords: Digital art, Media art, Net art, Immersive Media Art

PoI Awareness, Relevance and Aggregation for Augmented Reality

Maria Beatriz Carmo1, Ana Paula Afonso2, António Ferreira2, Ana Paula Cláudio1, Gonçalo Silva1 1BioISI-Faculty of Sciences, University of Lisboa, Portugal; 2LaSIGE-Faculty of Sciences, University of Lisboa, Portugal

The integration of sensors in smartphones and tablets is enabling the emergence of augmented reality (AR) applications for these devices. However, the image captured and the superimposed information is limited to the camera’s field-of-view and, in the visualization of points of interest (PoI), symbol overlapping may occur because there is no control over their number and location. Thus, we developed an Android prototype application that aims to: provide better environment awareness us-ing clues to off-screen objects and a 2D map with a radar view; reduce symbol overlapping via aggregation visualizations; and guide the attention of the user by featuring different levels of symbol relevance according to user preferences. An empirical study with search tasks revealed participants preferred having all techniques active instead of none or only some of them. This suggests there is value in combining visualization techniques to address mobile AR challenges, and, possibly, that there is still space to integrate more techniques without overloading the users.

Keywords: Augmented Reality, Off-Screen Objects, Relevance, Aggregation

Insertion of surprise elements in the collaborative learning process through graphic representations for synthesis (GRS): a qualitative study

Juliana Bueno, Stephania Padovani

Federal University of Paraná, Brazil

Designers are motivated to the collaboration during professional practice and throughout college graduation years. However, during post-graduation in Design, students start having research work and, usually, a learning of theoretical subjects only through personal scope. With the goal of suggesting changes to such practice methodologies, this study aims to draw attention to a significant learning of theoretical classes in Design post-graduation, through visual thinking and collaboration principles. For such deed, it’s being proposed as a didactic strategy the use of Graphic Representations for Synthesis (GRS) produced in groups within the classroom. This work presents a qualitative study, in which the production process, analysis and discussion of GRS developed collaboratively by students during the classes of UCD was investigated. Results have shown that the uses of GRS have supported students’ learning and, the insertion of the surprise elements in the production of the GRS have brought substantial gains in this process.

Keywords: graphic representation, visual thinking, collaboration


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Session iV2016_1.5: Information Visualisation - Usability

& Evaluation

Chair: Prof. Ebad banissi, London South bank University, UK

.A low level Evaluation of Head-Tracker and Speech Commands Interactions in Information Visualization Tasks Carlos Gustavo Resque dos Santos, Alexandre Freitas, Brunelli Pinto Miranda, Nikolas Jorge Santiago Carneiro, Tiago Davi Oliveira de Araújo, Anderson Soares, Bianchi Serique Meiguins


This paper shows head tracker and speech commands interaction evaluation results in information visualization context at low level task taxonomy. The head tracker is used to move a pointer and the voice commands to perform actions. In the evaluation, we used 20 public information visualization techniques, 62 simple tasks (aiming low-level interactions), and 10 participants that performed all tasks. The evaluation shows results about user performance (UP) and user experience (UE) by visualization and interaction taxonomies. Finally, we highlight some good practices suggestions for design this interaction type.

Keywords: Information Visualization Interaction, Multimodal Interaction, Head Tracker, Speech Commands, Interaction Evaluation

A User Study on Multivariate Edge Visualizations for Graph-based Visual Analysis Tasks

Sebastian Schöffel, Johannes Schwank, Achim Ebert

Computer Graphics & HCI Group, University of Kaiserslautern, Germany

Providing insight in complex networks or graphs with multivariate data is one of the main challenges for visual analysis today. Much work has been done for visualizing information on nodes, but the space in between has mostly not been used yet. We developed a user study based on two techniques called Partially filled Bars and Bars of Varying Height and asked subjects to perform different tasks. We briefly present both techniques and our design of a large user study. Our goal is to understand the advantages and disadvantages of both approaches compared to each other. After describing our evaluation setup and our initial hypothesis, the results are analyzed, discussed and the most accepted configuration is presented. Finally we briefly discuss the outcome of the user study and our next steps for further investigations.

Keywords: Multivariate Network Visualization, Edge Visualization, Node-Link-Diagram, Evaluation

Multi-Device Visualisation Design for Climbing Self-Assessment

Christina Niederer, Alexander Rind, Wolfgang Aigner

St. Pölten University of Applied Sciences, Austria

While quantified-self applications and wearable sensors for running, cycling or strength training are receiving wide interest from science and industry, little attention has been paid to the increasingly popular climbing sport so far. To fill this gap, specialized wrist- worn sensor devices

for tracking climbers have recently been developed. To support climbers and make the best possible use of the available sensor data, we designed a set of interactive visual interfaces which provide detailed insights into training data and supports self-assessments of various aspects of climbing technique. Our approach consists of a mobile web application to be used while training and a desktop tool for presentation and analysis. In our design study, we conducted semi-structured interviews with climbers, developed a scenario-based prototype in D3.js and evaluated our prototype. The initial semi-structured interviews, a formative expert review and a summative usability study showed the importance of providing manual input possibilities besides the automatically detected data of the wrist-worn device and visualisation techniques showing an overview of their training data. The findings of this design study have significant implications for the understanding of how climbers will interact with quantified-self applications and what are the individual requirements for such a system are.

Keywords: information visualization, quantified-self, climbing, multi-device, sport

Session iV2016_1.6: Information Visualisation Theory &

Practice Chair: Prof. John Andrew Berton, Drexel University, USA

Tree Visualizations in Structured Data Recursively Defined by the Aleph Data Relation

H. Paul Zellweger

ArborWay Labs, United States of America

In visualization, tree structures in this branch of computer science are a core area of study. In an earlier article on the Database Taxonomy, an end-user database interface, the author has shown how tree structures emerge from ordinary application data in the relational database (RDBMS). The paper takes a closer look at the details of the components of this system. that enable this tree structure to emerge algorithmically. The underlying role of all of these components is modeling data relations according Mark Burgin’s mathematical theory of named sets. These components include modeling data relations, a recursive mapping algorithm that operates on these models, and the tree structure that this algorithm produces that is called the open hierarchical data structure (OHDS). In visualization terms, all of the components are tightly integrated. Upon close inspection, it becomes apparent that all three components rely on a specific type of parent/child data relation. The paper identifies this relation as an Aleph data relation because it can only be derived from a particular setting, namely the relational database. Building on this idea, the paper asserts that its specific one-to-one and one-to-more patterns can derived from another type of setting, namely structured data, as long as each data value is bound to a particular attribute or type. In conclusion, the paper shows how visualizations of tree structures derived from this particular data relation are recursively defined by it.

Keywords: parent/child data relations, aleph data relation, structured data, relational data, tree structure visualizations, RDBMS

Word-Clouds in the Sky: Multi-layer Spatio-temporal Event Visualization from a Geo-parsed Microblog Stream


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Masahiko Itoh2,1, Naoki Yoshinaga2,1, Masashi Toyoda2 1National Institute of Information and Communications Technology, Japan; 2The University of Tokyo, Japan

In mega-cities, various events, such as public gatherings, traffic accidents, and natural disasters, occur every day. Understanding such ever-changing events allover the cities is important for urban planning, traffic management, and disaster response, but is quite a big challenge. In this paper, we propose a method of visualizing spatio-temporal events by using a multi-layered geo-locational word-cloud representation from an automatically geo-located microblog stream. A real-time geo-parsing first geo-locates posts in the stream, using geo-tags and mentions to places and facilities as clues. Temporal local events are then recognized and represented by a set of words observed specifically in a certain location and time grid, and then displayed on a map as word-clouds. To avoid occlusions among the local (e.g., sports games and music concerts) and global (e.g., earthquakes and marathon races) events, we detect the locality of events to splitsplit them into multiple layers. The user can distinguish local and global events, and see their interactions over the layered maps. We showed the effectiveness of our method by testing it on real events extracted from our archive of five years worth of Twitter posts.

Keywords: Social media, text analytics, spatio-temporal visualization

A Design Tool of Color Schemes on the CIELAB Space

Kazuo Misue, Hatsune Kitajima

University of Tsukuba, Japan

Colors play an important role in information visualization. To effectively use the colors as visual representations of the data, it is necessary to design color schemes that take into account perceptual differences between colors. The authors developed a tool to assist color-scheme design by using the CIELAB color space. The developed tool provides functions to design color schemes for nominal data, ordinal data, and quantitative data. The CIELAB color space has a property that the Euclidean distances between any two colors in the space can approximate perceptual differences between them. So, it is convenient to design color schemes for data representation. On the other hand, since the space has a distorted shape, color scheme design in the space is not so easy. The tool allows the designer to see the positions of colors in the CIELAB color space visually to make scheme design easy. Moreover, it displays messages on the validity of the color difference, and provides functions to correct schemes automatically.

Keywords: Color Scheme Design, CIE1976L*a*b*, Information Visualization

Session iV2016_1.7: Geometric Modeling & Imaging

Chair: Dr. Maria Beatriz Carmo, BioISI-Faculty of Sciences, University of Lisboa, Portugal

Visualization of Constrained Data Using Trigonometric Splines

Farheen Ibraheem1, Malik Zawwar Hussain2 1University of Central Punjab, Pakistan; 2University of the Punjab, Lahore, Pakistan

Shape preserving algorithms are of great significance in the realms of data visualization, computer graphics and computer aided geometric design. This paper addresses the problem of shape preservation of data when it lies above and below a straight line. A rational trigonometric cubic function with four shape parameters has been used for this purpose. Data dependent constraints are derived on two of shape parameters while two are set free to modify the shape as desired.

Keywords: Interpolation, Trigonometric spline, shape preservation

An Inpainting Result by a Nonlinear Structure Tensor

Mounder Benseghir1, Fatma Zohra Nouri1, Pierre Clovis Tauber2 1LAM2SIN Badji Mokhatr University, Algeria; 2UMRS INSERM U930 - Université François Rabelais de Tours France

We propose an inpainting technique based on edge and corner preserving. This


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technique makes use of the nonlinear structure tensor (NLST) to evaluate the direction and the diffusion magnitude through robust orientations. Many authors have used this technique for different issus, for example for image interpolation and reconstruction, for structure-adaptive anisotropic filtering and inpainting based on image characteristics.

Here we make use of this procedure and extend previous studies to present an inpainting new algorithm. To validate our study we present some numerical applications to grey scale images with complex geometries.

Keywords: Inpainting, Partial Differential Equations, Nonlinear Structure Tensor.

Short papers

New 3D Education Technology for Students with Delimited Ability

Eva Pajorova, ladislav Hluchy

Slovak Academy of Sciences, Slovak Republic

In our institute in the scope of lot international projects we have developed some 3D visualization tools for present simulation results for applications on the field of astronomical main research and research in natural disasters or disasters in public buildings, before fire, floods, blackout and bombs. But also we have developed visualization in the field of energy execution results with a big data. The main off all is form of presentation such results for all community, not only for researchers.

The usefulness of the speaking virtual head, as well as 3D visualization tools in the new communication, teaching and presentation technologies, as well as in a variety of audiovisual communications software technologies is almost unlimited. Currently we are working in creating the final communication and presentation tool for all. The paper describe all modules, functionality, all of them, and usefulness the final communication tool.

Keywords: learning, education technologies, visualization tool, information visualization

The Invisible Interface: Traditional Design Principles in Modern Electronic Design

Jonathan Hounshell, Todd Emma

East Tennessee State University, United States of America

How is traditional design being applied to create next level interfaces for electronic media? The principles guiding graphic design are the fundamental base of modern design, whether it is for the latest IOS interface or a HUD for the latest blockbuster game. How is current electronic design implementing these guiding fundamentals to create new ideas in interface design like the invisible interface? Here we discuss what some of these guiding principles are and how they relate to modern design.

Keywords: Mobile Interface, Game HUD, Digital Graphic Design Theory, Invisible Interface


Applications Chair: Prof. Rui Borges Lopes, University of Aveiro, Portugal

An enactive based realtime 3D self-organization system for the exploration of a cultural heritage data base

Rajaonarivo Landy , Eric Maisel, Pierre De Loor

ENIB/CERV, France

This paper presents a first step in the realization of an interactive user interface that organizes itself according to the user exploration of a database of cultural heritage objects. The first part makes a brief related works and lays the basis of this kind of system according to the enactive paradigm. The second part explains the mechanisms underlying the self-organization of the interface: keywords and cultural heritage objects are 3D graphical entities endowed with autonomous behaviors. They share a common virtual environment. Keywords behaviors are based on bo¨ıds flocking simulation while cultural heritage objects appears in an virtual museum

which evolves and grows progressively. The result that is presented, is an incremental construction of an interactive and realtime 3D metaphor of virtual museum which is then user-specific.

Keywords: information visualistion; exploration; 3D; enactive; virtual reality

The Visualisation of Cognitive Structures in Forensic Statements

Jing Wang1, Yufang Ho2, Zhijie Xu1, Dan McIntyre2, Jane Lugea2 1School of Computing and Engineering, University of Huddersfield, UK; 2School of Music, Humanities and Media, University of Huddersfield, UK

Forensic statements are often unstructured, intricate, and thus difficult to interpret and assess. This is due to the varied nature and format of how interviews with victims, witnesses, or suspects are conducted. It is even more difficult for police investigators, lawyers or other legal practitioners to grasp intuitively and accurately the key information pertaining within the varied statements. This research investigates the opportunities in the convergence of linguistic approaches to extracting and reconstructing the cognitive structure, i.e. “Text-Worlds”, in a statement, and the computerised operational settings for enabling effective and hopefully more accurate interpretation of forensic discourse through visualisation.

Keywords: Information Visualisation, Text World Theory, Forensic Stylistics

Sketch based Picture-Collage Generation Using Evolutionary Computation

Satoshi Yonemoto, Tsukasa Okuda

Kyushu Sangyo University, Japan

This paper describes a sketch based image synthesis method. In our work, image synthesis is treated as a layout generation problem. This method allows users to easily obtain a favorite layout with a simple user operation, sketch. Our method realizes an evolutionary layout generation based on genetic algorithm. First, the target image is given as user strokes. Then, a


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layout image is generated by pasting sub images that are automatically selected from pre-registered image set. In our approach, the layout image is composed of a base image and the appendant sub images. A base image is probabilistically selected based on roulette wheel selection. The selected base image and the sub images are automatically arranged by the evolutionary generation. We have demonstrated a picture collage application.

Keywords: evolutionary computation, picture collage

Session iV2016_2.1: Information Visualisation – Theory &

Techniques Chair: Dr. Bianchi Serique Meiguins, Federal University of Para, Brazil

Native Cross-platform Visualization: A Proof of Concept Based on the Unity3D Game Engine

Markus Wagner1, Kerstin Blumenstein1, Alexander Rind1, Markus Seidl1, Grischa Schmiedl1, Tim Lammarsch2, Wolfgang Aigner1 1St. Poelten University of Applied Sciences, Austria; 2MODUL University Vienna, Austria

Today many different devices and operating systems can be used for InfoVis systems. On the one hand,

web-based visualizations can be used to be compatible with several systems, but the performance depends on optimized browser engines. On the other hand, it is possible to build a native system which supports all

the benefits for just one device. However, transferring the code to another system means parts of the code

or the programming language have to be adapted. To close this gap we present a proof of concept based on the Unity3D game engine. We implemented a prototype following the InfoVis reference model and basic

interactions for interactive data exploration. A major advantage is that we have now the ability to deploy

native code to over 20 different devices. Additionally, this proof of concept opens new possibilities for a future InfoVis framework which benefits from Unity3D.

Keywords: Cross-platform, multi-device, native application, Unity3D, information visualization

Keywords: Uncertainty visualization, Edge visualization, Node-Link Diagram, Evaluation

Visualizing Uncertainty of Edge Attributes in Node-Link Diagrams

Johannes Schwank, Sebastian Schöffel, Jan Stärz, Achim Ebert

Computergraphics & HCI Group, University of Kaiserslautern, Germany

In this paper, we discuss and evaluate the handling of uncertainty in visual network analysis, i.e. the

uncertainty of edge attributes. This can be useful to answer a question like ”How reliable is a flow rate

value on a specific edge/pipeline?”. For investigating the most suitable and most intuitive representation of uncertain edge attributes in visual network analysis, we extend the state of the art in uncertain edge

visualization. We present and compare four different approaches in a large user study to gain insight into

effectiveness, efficiency and user satisfaction. In our user study, we show that dashed lines are the most promising method in general. But, depending on the task, wavy lines as well as blurred lines can be a

better choice in terms of efficiency.

Lyrics Word Clouds

Michael Burch1, Tobias Fluck2, Julian Freund2, Thomas Walzer2, Uwe Kloos2, Daniel Weiskopf1 1VISUS, Germany; 2University of Reutlingen

Plenty of songs are composed, written, and released every year being recorded in a variety of databases. Those do not only store the audio, but also additional data like the artists' names, the years of release, the

lengths of the songs, or number of visits, comments, and remarks of visitors and the like. However,

another important data is the lyrics, i.e., the textual content which can give insights about the topic, genre, or intention of the musicians. Getting an overview about the textual content of a song, i.e., the lyrics can

become a tedious challenge since listening to the songs or reading the texts is a time-consuming task. To

support users of song databases we propose a visualization tool that is able to generate word clouds from lyrics. Interaction techniques are incorporated in the tool to give more detailed information about the


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occurrence of words in a song that finally help to find insights about the genre or to just compare the

content very rapdily, for example. Our visualization tool is implemented as a web-based interface, that

stores requests, updates the local tool database based on those requests, and finally, provides an interactive visualization for the user.

Keywords: word clouds, textual data, web-based application

Enhancing Polymetric Views with Coarse-Grained Views

Rita Francese1, Michele Risi1, Giuseppe Scanniello2, Genoveffa Tortora1 1University of Salerno, Italy; 2University of Basilicata, Italy

MetricAttitude is a visualization approach implemented in an environment that provides a mental picture

by viewing an object-oriented software by means of polymetric views of classes (i.e., fine-grained). In this paper, we present an extension of MetricAttitude which visualizes a software by levels considering not

only its class view but also its package views in terms of nested packages (i.e., coarse-grained). Packages

are represented by using visual properties associated to Martin's metrics. The new approach and its supporting visualization environment also allow showing relationships among packages.

Keywords: Polymetric Views, Program Comprehension, Reverse Engineering, Software Evolution, Software Maintenance, Software Metrics, Software Visualization

Short papers

Geographic Visualization of Solar Radiation Flux Data for Teaching Purposes

Chris Harding

Iowa State University, United States of America

This paper describes the visualization of global solar radiation data for teaching and research. ERA-40 data (1957-2002) from the ECMWF model was processed into annual and monthly averages over 45

years. A collaborative and iterative design methodology, including perceptually validated color

progression was used. The data was visualized via Python’s matplotlib (basemap) module. The results

(maps and animations), data and python code can be downloaded from

https://iastate.box.com/solarRadiationMaps

Keywords: GeoVisualization, spatio-temporal meteorological data, animation, geoscience education

Session iV2016_2.2: Info Vis - General Chair: Prof. Mark Bannatyne, IUPUI, USA

On Edge Bundling and Node Layout for Mutually Connected Directed Graphs

Naoko Toeda1, Rina Nakazawa1, Takayuki Itoh1, Takafumi Saito2, Daniel W. Archambault3 1Ochanomizu University, Japan; 2Tokyo University of Agriculture Technology, Japan; 3Swansea University, UK

Directed graphs are used to represent variety of information, including friendship on social networking services (SNS), pathways of genes, and citations of research papers. Graph drawing is useful to intuitively

represent such datasets. This paper presents an edge bundling and a node layout technique for tightly and

mutually connected directed graphs. Our edge bundling technique includes three features: ordinary bundling of edges connecting common pairs of node clusters, convergence of multiple bundles connecting

to the same node cluster, and shape adjustment of two bundles connecting the same pair of node clusters.

This paper includes a case study with a directed paper citation graph. Keywords: Directed graph, Edge bundling, Node layout, Graph clustering

Facial Feature Extraction and Recognition for Traditional Chinese Physiognomy

Yujie Liu1, Mao Lin Huang1,2 1Tianjin University; 2University of Technology, Sydney

Chinese physiognomy is a traditional face reading method based on the inheritance(accumulate) of knowledge and experience. Through the face reading, one's personality, future, previous life and luck can be told. However, it is lack of the theory and systematic analysis to prove its outcomes.

This paper proposes a novel calculation method of personality based on the Chinese physiognomy. At first, we combined the ancient and the modem physiognomy to summarize the corresponding relation

between the personality and facial feature and model the baseline to shape the face feature. Then the

histogram of image is computed and the value of the histogram is employed by searching for the otsu threshold values to create a binary image in an adaptive way. The two-pass connected component method

is indicated the feature region. Before the method, we erode the binary image remove the noise point, so

that the new connected image can provide(achieve) a better result. Standard lines of hair and chin have been defined as the first line and the end line of the new connected images. A simple linear search method

for eye area corner points, nose corner points and mouth corner points among the contours we have got.

The method was tested on ORL face database.

Keywords: face reading, Physiognomy, personality


https://iastate.box.com/solarRadiationMaps

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NEW PARADIGM OF SOCIAL POSTER EMBEDDING UNEXPECTED GRAPHIC PATTERN FOR THE ONGOING ISSUE, RADIATION CONTAMINATION IN FUKUSHIMA

Jun Bum Shin

Oregon State University, United States of America

A poster must be sufficiently informative to convey a suitable message which reflects the genuine characteristics of the topic. A social poster design deals with social issues, which are not instantaneous events where existing in a dynamic society. Therefore, the social poster design has to represent the continuous consequences due to the social incident.

On 11 March in 2011, a magnitude 9.0 earthquake hit off the east coast of Japan, caused 15,821 deaths, 3,962 missing, and 5,940 injuries in 20 Japanese prefectures as reported by The National Police Agency of Japan (Dunbar et al., 2011). Though the earthquake, aftershocks and tsunamis ended, it is an unfinished tragedy, due to the continuous exposure of the radioactive contaminated water by the Fukushima Daiichi plant. The highly contaminated water has accumulated on roofs and it keeps flowed into the Pacific Ocean when it rains (McCurry, 2015).

This study aims to present the ongoing impact of radioactive materials to our society on a social poster through an animated graphic. The randomly created background patterns within the poster, symbolize the unfinished radioactive leaking and its circulation in our environment. Hence, this poster is a dynamically changing rather than a static graphic poster, much like the continuous changes occurring within the environment, due to the Fukushima event. In the middle, the red solid circle not only reflects the Japanese flag but also symbolizes the contaminated Earth.

For the background patterns, I generated the random motion of oblique lines by computer programming using Processing, which is an open source programming language. The randomly generated graphic by Processing, referred to as animated graphic, exhibits the unexpected radioactive exposures due to the Fukushima Daiichi nuclear disaster. The red circle represented Japan and the Earth suffered by the ongoing contamination that it was depicted by transparent red that the symbol and the patterns are overlapped and coexist. It should be noted that the printed version of the poster is captured from the digital work, which can be found at https://dl.dropboxusercontent.com/s/ulcosh5dpm1xw85/index.html?dl=0

The animated graphic shown in the dynamic poster, informs an audience of the ongoing social issue that the radioactivity which has been leaking into the ocean since the Fukushima Daiichi nuclear disaster in 2011. Unlike a traditional, static print poster, it raises the audiences’ awareness, empathy and understanding of the tragedy using dynamic data, affecting a different reaction.

Reference

1. Dunbar, P., H. McCullough, G. Mungov, J. Varner, K. Stroker (2011), 2011 Tohoku earthquake and tsunami data available from the National Oceanic and Atmospheric Administration/National Geophysical Data Center, Geomatics, Natural Hazards and Risk, 2:4, 305-323, DOI: 10.1080/19475705.2011.632443

2. McCurry, J., The Fukushima Daiichi disaster: 4 years on, World Report, Volume 385, No. 9973, e23–

e24, 21 March 2015, DOI: http://dx.doi.org/10.1016/S0140-6736(15)60302-6 Oregon State University,

United States of America

Keywords: social poster, unexpected graphic pattern, radiation contamination in Fukushima

Finger Painting – Bootstrapping and Articulating Finger Haptic I/O on a Touchscreen

Hsin Hsin Lin

INFOTECH Research & Consultancy, Singapore

While the touch screens on mobile devices have penetrated and touched the lifestyle of millions of people, few have realized its potentials and sustainabilities at their finger tips. Resistive or capacitive

touch screens are perfect surfaces for artistic expressions such as drawing and painting, all can be

accomplished by a fine touch with only one finger, anytime, anywhere, any size. Be it discrete,

continuous or compound touch, a discriminative touch is a direct haptic I/O between the human and the

device with the touch screen as the surface, finger as the tool and digital palette as the medium. The

author had previously used the PC mouse as a tool on the laptop, has explored and investigated the immense possibilities of achieving the same or even better results with the finger on touch screens

between mid-2012 to the present on Android smartphone and tablet. This paper demonstrates the

articulation and results of freehand finger interaction on drawing and painting any subject matters, from the abstract to the super realistic. It dispels the need of the conventional inapt image editor software with

bloated painting tools and use of a stylus pen as a painting vehicle. Keywords: Category and Subject Human Computer Interface, Interaction Techniques


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Session iV2016_2.3: Human computer interaction for

Information Visualization Chair: Dr. Mariko Sasakura, Okayama University, Japan

Effectiveness of Audio Information for Note-taking and Learning Activities during a Fully Online Course

Minoru Nakayama1, Kouichi Mutsuura2, Hiroh Yamamoto2 1Tokyo Institute of Technology, Japan; 2Shinshu University

Audio information plays a key role in the learning environment. The effectiveness of audio information on note-taking and learning performance was examined using survey data from a fully online course. First, metrics of note-taking activities were measured using the relationships between these lexical features, and their contributions to learning performance were then examined. In particular, the effectiveness of learning materials presented as slide contents or audio information was compared. Second, some relationships between these metrics and the scores of learning performance evaluations were analysed, and the effectiveness of audio information was qualified using regression analysis. The results indicate that audio information significantly affects both the contents of notes taken and learning performance.

Keywords: Note taking, Fully online course, audio information, student's characteristics, Lexical analysis

Promoting insight: A Case Study of How to Incorporate Interaction in Existing Data Visualizations

Ilo Aguiar Reginaldo Alexandre

FCSH - Universidade Nova de Lisboa, Portugal

Visualizations became essential to understand large datasets and abstract information. Data Visualizations

are increasingly used to tell compelling stories, particularly in journalism. In order to engage the users

with complex data, interaction techniques are incorporated into storytelling, emerging narrative visualization. Narrative visualization attempts not only to present information with context, but also to

allow users to explore the dataset, find patterns or structures in the data, providing the users with control

over the insights she/he gains from interaction. Interaction techniques play a key role in narrative visualization improving understanding of the data and stimulating insights through discovery. In this

paper, we explore the benefits of adding interaction techniques to data visualization. Drawing on case

studies from Portuguese news media, we identified strategies to enhance storytelling in visualizations and to provide better insights through different types of interactivity.

Keywords: Data visualization, interaction, insight, storytelling, case study

Using Video Tutorials to Reduce Cognitive Load and Frustration for Early Learners of 3D Maya: a comparative case study discussion on knowledge visualisation modes.

Theodor Wyeld


This study investigates the reduction in frustration experienced by early learners of 3D Maya by reducing the cognitive load of the learning materials. It compares the relative efficacy of the traditional front-of-

class demonstration with printable text and image, and narrated video format – with the main focus on the

latter. It found that participants preferred the video tutorial over other formats and reported higher satisfaction with the overall learning experience. This was due to the reduced cognitive load of the video

tutorial when compared to the other formats.

Keywords: video tutorial, needs theory

Visualising Human Motion: a First Principles Approach using Vicon data in Maya

Theodor Wyeld, David Hobbs


At undergraduate level it is critical that students of 3D animation, visual effects or games development understand the fundamental principles of human motion capture. As such, a method was needed to provide

this understanding. Access to a Vicon–equipped motion capture laboratory provided the basis for this

project. The laboratory’s main use is for clinical motion analysis studies. The 3D media students that this project was aimed at use Maya 3D, among other Autodesk products, in their productions. However, Vicon

data cannot be imported directly into Maya. Although it can be exported to other software, such as

MotionBuilder or Blade, they create ready-formed rigs. As such, using software other than Maya 3D does not provide an understanding of the fundamental underlying principles involved in the use of motion

capture data for animation that this project seeks to demonstrate. This project attempted to address the gap

in public knowledge of motion capture procedures for the benefit of undergraduate students.

Keywords: human motion capture, first principles

Short papers

HMD-Enabled Virtual Screens as Alternatives to Large Physical Displays

Andreas Schneider, Daniel Cernea, Achim Ebert

Computer Graphics & HCI, University of Kaiserslautern, Germany

Large displays are one of the core components of visualizing large-scale data sets, allowing users to render

a larger amount of information and present it in the corresponding context. However, these displays still have many disadvantages, like the high costs that increase exponentially with display size and the

immobility of the display setups. In this paper, we introduce a virtual large screen that is designed as an

alternative to physical large displays. It is implemented with the help of the Oculus Rift head mounted

display (HMD). Users wearing the virtual glasses are able to see and explore a virtual screen and make use

of its size advantages without the cost and location restrictions of the physical counterpart. A preliminary

evaluation of our system suggests that the users' perception and cognitive abilities are similar for both working on large physical displays and our large virtual screens.

Keywords: Virtual large display, head mounted display, virtual reality


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Effects of Very High Frame Rate Display in Narrative CGI Animation

John Andrew Berton

Drexel University, United States of America

Research ongoing at the eXtreme High Frame Rate Laboratory (XHFR Lab) in the Digital Media Department at Drexel University is concerned with producing and analyzing animated motion pictures that are created and viewed at extremely high frame rates, 120 frames-per-second (fps) and higher. High Frame Rates in general are being explored in several areas of the industry and academia, but the work of the XHFR Lab is focused on important areas that are not addressed by other groups: actual High Frame Rate display of digital images, (as opposed to down-sampling to standard rates,) the use of very high frame rates to display synthetic animated images, (as opposed to photography) and how narrative storytelling is affected by the use of Very High Frame Rate render and display.

To explore these issues we employ high frequency procedural and motion capture data to create narrative

animated sequences that are rendered at various frame rates. By realizing the narrative structure with synthetic images and digital cinema we can replicate these scenes at different frame rates while

maintaining exact control over action and point of view as well as over techniques of photorealism such as

motion blur, camera shutter effects and exposure. Holding these factors constant allows us to better understand how the same cinematic narrative is perceived at different frame rates. Keywords: HFR CGI Animation Narrative Cinema

Session iV2016_2.4: BioMedical Visualization Chair: Randolph George Goebel, University of Alberta, Canada

A Threshold Structure Metric for Medical Image Interrogation: The 2D Extension of Approximate Entropy

Christopher John Moore

The Christie NHS Foundation Trust, United Kingdom

Reconstructive imaging permeates medical practice because of its apparently clear grey scale depiction of

anatomy. However, the tell tale signs of abnormality and its delineation for treatment demand experts work at the threshold of visibility for hints of structure. Hitherto, a suitable assistive metric that chimes

with clinical experience has been absent. This paper develops the complexity measure approximate entropy (ApEn) from its 1D physiological origin into a 2D algorithm to fill this gap. The first detailed

algorithm is presented and then applied to X-ray computed tomography used in image guided radiotherapy

for cancer. Results clearly reveal the fine structural detail missed by grey-scale metrics, the strength of which is calibrated by the ApEn process itself. Machine assisted manual interaction and automated image

interrogation for radiomics is envisaged.

Keywords: 2D-Approximate-Entropy, Threshold-Structure, Interrogation

Visualization of sRNA-mRNA interaction predictions

Joris Sansen, Patricia Thébault, Isabelle Dutour, Romain Bourqui

University of Bordeaux, France

The central dogma in molecular biology postulated that 'DNA makes RNA makes protein', however this dogma has been recently extended to integrate new biological activities involving small non-coding RNAs, called sRNAs. In particular, it has been shown that sRNAs regulate the production of proteins by interacting on mRNAs to regulate positively or negatively their translations. That regulation of the mRNA translation is done by forming a base-pairing between the RNAs sequences of bases. In silico methods have been proposed by the bioinformatics community to provide a list of putative interactions to be experimentally validated. However, such approaches suffers from a poor specificity and therefore produce a large number of false predictions. In this paper, we present a new visualization technique for sRNA-mRNA interactions emphasizing the involved regions on the sRNA secondary structure drawing. Our approach also supports interactive exploration as the user can select and highlight interactions We demonstrate the usefulness of our approach by a case study on E. coli bacteria performed by domain experts.

Keywords: biological data visualization, RNA interaction prediction, overlapping cluster

Interactive visualization of large-scale gene expression data

Maria Riveiro1, Mikael Lebram1, Christian X. Andersson2, Peter Sartipy3, Jane Synnergren1 1University of Skövde, Skövde, Sweden; 2Takara Bio Europe, Gothenburg, Sweden; 3Astra Zeneca,Mölndal, Sweden

In this article, we present an interactive prototype that aids the interpretation of large-scale gene expression data, showing how visualization techniques can be applied to support knowledge extraction from large datasets. The developed prototype was evaluated on a dataset of human embryonic stem cell-derived cardiomyocytes. The visualization approach presented here supports the analyst in finding genes with high similarity or dissimilarity across different experimental groups. By using an external overview in combination with filter windows, and various color scales for showing the degree of similarity, our interactive visual prototype is able to intuitively guide the exploration processes over the large amount of gene expression data. Keywords: gene expression data, similarity, visual analytics, decision-making


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Session iV2016_2.5: BioMedical Visualization Chair: Prof. Christopher John Moore, The Christie NHS Foundation Trust,

United Kingdom

Data Driven GUI Design and Visualization for a NGS based Clinical Decision Support System Heimo Mueller1, Doris Ulrich2, Robert Reihs1,3, Kurt Zatloukal1,3 1Medizinische Universitaet Graz, Austria; 2FH Joanneum; 3BBMRI.at

Next-generation sequencing (NGS) has transformed genomic research by decreasing the cost of sequencing and increasing the throughput. Today the translation of NGS technology to (cancer) diagnostics and therapeutics is widely anticipated. In this paper we give an overview of design, user experience and usability (DUXU) requirements for NGS applications with a special focus on clinical and diagnostic settings and describe a data driven GUI and visualization framework for a NGS based clinical decision support system (DSS). In such a DSS it is hard to oversee the huge amount of information, especially if given only in textual form. To overcome this we developed a visual language for electronic health records (EHR) for navigation within a case and comparison of medical cases.

Keywords: Next Generation Sequencing, Decision Support System, Electronic Health Records

Type P63 Digitized Color Images Performs Better Identification than Other Stains for Ovarian Tissue Analysis

T M Shahriar Sazzad

ECU, Australia

Microscopic biopsy slides are used in the pathology laboratory for routine examination to determine the actual condition of human ovarian reproductive tissues. This manual identification process requires substantial amount of time. Among all electronic scanning devices ultrasound is popular for cancer tissue analysis but not appropriate for ovarian tissue analysis as smaller tissues like ovarian tissues are hard to analyze. Computer based approaches would be a better choice if processing time and effort can be minimized while increasing the accuracy rate. In this paper a comprehensive review and analysis has been carried out and a new modified approach has been presented which will assist pathology experts to choose and analyze digitized ovarian tissue color images accurately. Comparative results indicate an acceptable accuracy rate in comparison to manual identification results.

Keywords: histopathology, color digitized microscopic image, image artifacts, mean shift, region fusion, cluster, ovarian reproductive tissues.

Session iV2016_2.6: Cultural Heritage Knowledge

Visualisation Chair: Theodor Wyeld, Flinders University, Australia

A Multi-Level Visualization Scheme for Poetry

Adiel Mittmann, Aldo von Wangenheim, Alckmar Luiz dos Santos

Federal University of Santa Catarina, Brazil

This article introduces a multi-level visualization scheme for poetry. In each level, different elements are represented and their attributes are coded in different ways. The first level displays the phonemes in a verse, tracing them back to the written word. The second level shows the poem itself in a metric grid where the verse syllables are placed. The third level shows a set of poems whose verses and syllables can be visually compared. Finally, the fourth level is capable of showing hundreds or thousands of verses at once, turning each verse into a tile whose color indicates a meaningful property. We argue that each level has its strengths and its weaknesses and we evaluate them with our collaborators from the poetry community.

Keywords: Poetry visualization; verse visualization; phonetic transcription; Portuguese poetry; Brazilian poetry.

Using Micro-Visualisations to Support Faceted Filtering of Recommender Results

Gerwald Tschinkel1, Robert Hafner2, Peter Hasitschka2, Vedran Sabol1,2 1Know Center Gmbh, Austria; 2Graz University of Technology

Faceted search is a well known and broadly implemented paradigm for filtering information with various types of structured information. In this paper we introduce a multiple-view faceted interface, consisting of one main visualisation for exploring the data and multiple miniaturised visualisations showing the filters. The Recommendation Dashboard tool provides several interactive visualisations for analysing recommender results along various faceted dimensions specific to cultural heritage and scientific content. As our aim is to reduce the user load and optimise the use of screen area, we permit only one main visualisation to be visible at a time, and introduce the concept of micro-visualisations - small, simplified views conveying only the necessary information - to provide natural, easy to understand representation of the the active filter set.


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Keywords: Recommendation Visualisation, Faceted Filtering, Multiple Views, Micro-Visualisations

Visual corpus interface – putting text visualizations at use

Verena Lyding1, Michel Généreux2 1EURAC research, Bolzano/Bozen, Italy; 2McMaster University, Hamilton, Canada

This paper presents the visual corpus interface created within the OPATCH project (‘Open Platform for access to and Analysis of Textual documents of Cultural Heritage’). The interface combines a set of visualizations for textual data and language features with the aim to support linguistic analysis. The paper describes the choice of visualizations, their interlinking and their integration with a corpus search engine. It discusses challenges related to data handling and usage scenarios and lays out open needs for future work.

Keywords: visual search interfaces, visual analysis, language visualization, language corpora, digital humanities

Interactive Text Visualization with Text Variation Explorer

Harri Siirtola1, Poika Isokoski1, Tanja Säily2, Terttu Nevalainen2 1University of Tampere, Finland; 2University of Helsinki, Finland

Digitalization is changing how research is carried out in all areas of science. Humanities is no exception – materials that used to be hand-written or printed on paper are increasingly available in digital form. This development is changing how scholars are interacting with their material.

We are addressing the problem of interactive text visualization in the context of sociolinguistic language study. When a scholar is reading and analyzing text from a computer screen instead of a paper, we can support this by providing a dashboard for reading, and by creating visualizations of the text structure, variation, and change.

We have designed and developed a software tool called Text Variation Explorer (TVE) for sociolinguistic language study. It is based on interactive visualization with a direct manipulation user interface, and aimed for exploratory corpus linguistics.

The TVE software tool has proven to be useful in supporting the study of language variation and change in its social contexts, or sociolinguistics. It is, to a certain degree, language- independent, and generic enough to be useful in other linguistic contexts as well.

We are now in the process of designing and implementing the next iteration of TVE. We present the lessons learned from the first version, discuss the old and the new design, and welcome feedback from the communities involved.

Keywords: information visualization, text visualization, interaction

Session iV2016_2.7: Information Visualization Chair: Dr. Hsiang-Yun Wu, Keio University, Japan

Time-Varying Data Visualization Using Clustered Heatmap and Dual Scatterplots

Satsuki Kumatani1, Takayuki Itoh1, Yousuke Motohashi2, Keisuke Umezu2, Masahiro Takatsuka3 1Ochanomizu University, Japan; 2NEC Corporation, Japan; 3The University of Sydney, Australia

Heatmap is one of the effective representations for time-varying data visualization. It may require large

display spaces when an input dataset contains large number of data items or time steps. We may often

want mechanisms to interactively filter non-important data items or time steps, so that we can form appropriate sizes of heatmaps and focus on important data items or time steps. This paper presents a

heatmap-based time-varying data visualization technique featuring an interactive mechanism to display

meaningful data items and time steps. This technique firstly calculates distances between arbitrary pairs of


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data items, and constructs a dendrogram consisting the data items. It then generates clusters of the data

items and displays the data items belonging to the specified sizes of clusters in the heatmap, so that we can

focus on groups of similar or correlated data items. It applies a similar mechanism to a set of time steps so that we can remove outlier time steps from the heatmap. Our implementation features two scatterplots,

which represent distribution of data items and time steps respectively, and slider widgets to interactively

adjust the thresholds of the clustering process. We can intuitively understand how clusters of data items or time steps are constructed, by looking at the scatterplots while operating the sliders.

Keywords: Time-varying data visualization, Heatmap, Scatterplot, Clustering.

Drawing Clustered Graphs Using Stress Majorization and Force-directed Placements

Yu-Jung Ko, Hsu-Chun Yen

National Taiwan University, Taiwan, Republic of China

We propose a novel layout algorithm to draw clustered graphs. Our algorithm applies a stress model to draw intra-cluster graphs and a spring-electrical force model to place clusters. Our strategy modifies the original stress model in graph drawing by integrating the force from the center to push and pull the intra-cluster nodes based on their outside connectivity. We also apply the idea of torque equilibrium, coupled with some heuristics, to realize our force-directed placement algorithm. To show the effectiveness of our design, we compare the running time and the number of edge crossings experimentally with the one using full stress majorization as well as other clustered graph drawing algorithms available in the literature. Our experimental results look promising.

Keywords: Clustered graph, force-directed placement, graph drawing, stress majorization

A Scatterplot-based Visualization Tool for Regression Analysis

Chie Suzuki1, Takayuki Ito1, Keisuke Umezu2, Yousuke Motohashi2 1Ochanomizu University, Japan; 2NEC, Japan

Regression analysis has been widely applied to various academic and industrial fields. Applications of regression analysis include medical problems such as health estimation, environmental problems such as disaster prediction and energy consumption estimation, and business/economic analytics. Here, accuracy and quality of regression analysis strongly depend on relevancy between input explanatory variables and actual objective functions. It often happens that several explanatory variables are well correlated with objective functions while others do not well correlated, and therefore accuracy of regression analysis may improve by removing unnecessary explanatory variables. This paper presents a scatterplot-based regression analysis tool. This tool visualizes the distribution of errors between actual and estimated values of objective functions, and provides user interfaces to explore the relationships between explanatory variables and the errors. This paper introduces examples of the visualization results using the presented tool with actual and estimated revenues at a store.

Keywords: Regression analysis, scatterplots.

Session iV2016_2.8: VA-Information Visualisation –

Applications Chair: Prof. João Moura Pires, FCT, Univ. NOVA de Lisboa, Portugal

APoD eXplorer: Recommendation System and Interactive Exploration of a Dynamic Image Collection

Frederic Rayar1, Sabine Barrat1, Fatma Bouali1,2, Gilles Venturini1 1University François Rabelais of Tours, France; 2University of Lille, IUT, Dpt STID, Lille, France

The amount of captured images has increased exponentially these last years. Online available image collections are becoming common thanks to social networks or institutes digitization programs. The context of our work falls into the need to explore such image collections. The literature paradigms are leveraged to meet three constraints: (i) handling medium to large image collections, (ii) handling dynamic image collections and (iii) providing interactive visualisations.

In this paper, we describe how our work has been used to build a recommendation system and an interactive exploration platform for dynamic image collection. To illustrate the relevance of such tools, we present APoD eXplorer, an online available platform that enhance the exploration of the NASA Astronomy Picture of the Day image collection. The platform is available at http://frederic.rayar.free.fr/apod/.

Keywords: Image collection, Exploration, Interactive visualisation, Recommendation system, Dynamic collection

Mobile Solution for Brain Visualization Using Augmented and Virtual Reality

José Soeiro1, Ana Paula Cláudio1, Maria Beatriz Carmo1, Hugo Alexandre Ferreira2 1BioISI– Biosystems & Integrative Sciences Institute, University of Lisboa, Faculty of Sciences, Campo Grande, Lisboa, Portugal; 2Institute of Biophysics and Biomedical Engineering, University of Lisboa, Faculty of Sciences, Campo Grande, Lisboa, Portugal

Augmented and Virtual Reality techniques are becoming more widespread and Medicine is one of the fields which can benefit from their use. In this paper we describe a smartphone application that applies these two techniques to provide visualizations of a patient’s brain. This application was designed with the goal of guiding a doctor in a medical procedure called Transcranial Magnetic Stimulation (TMS), however it can be adapted and extended to other uses. The application was submitted to user tests involving two experts in TMS and researchers in Biomedical Engineering; the results were positive and provided useful feedback that will be considered when further developing the application.

Keywords: Brain Visualization, Mobile application, Augmented Reality, Virtual Reality, Transcranial Magnetic Stimulation


http://frederic.rayar.free.fr/apod/

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A client-server framework for the design of geo-location based augmented reality applications

Nicola Capece, Roberto Agatiello, Ugo Erra

Università della Basilicata - Dipartimento di Matematica e Informatica, Italy

We present a client-server framework for the development of mobile applications that use Augmented Reality (AR) to visualize geolocated data. Geo-information displays allow users to understand and respond effectively to the context in which the application is deployed. We provide a scalable and flexible architecture for the development and management of the client, the server and the data that are used by the applications. This architecture is based on the display of connected layers that represent structured information. The approach has been implemented in two case studies: the management of failures in electrical power lines, and to support hydrogeological monitoring. Keywords: Augmented Reality, Location Based AR, REST, Framework, Layer

Session iV2016_2.9: Visual Data Mining and Analytics Chair: Michael Burch, VISUS, Germany

A Need for Exploratory Visual Analytics in Big Data Research and for Open Science

Yuzuru Tanaka, Jonas Sjobergh, Keisuke Takahashi

Hokkaido University, Japan

We argue that exploratory visual analytics frameworks are needed for efficient big data research and data-driven research, and exemplify with experiences from our research. Such frameworks can be used for iterative hypothesis generation and hypothesis verification, and for exploratory creation of appropriate explanatory variables to use in data acquisition and analysis. We discuss how complex analysis tools, e.g. data mining tools, can be integrated with the coordinated multiple views framework and we briefly present a framework that can support such extended coordinated multiple views frameworks and that can be used for "open science", i.e. making scientific research, methods, data, etc. reusable and more accessible to everyone.

Keywords: exploratory visual analytics, big data, open science

Support citizens in Visualising Open Data

Donato Pirozzi, Vittorio Scarano

Dipartimento di Informatica, Università degli Studi di Salerno, Italy

This paper contributes in the field of open data and their visualisations, trying to reduce the gap between the public institutions, who publish open data, and citizens, allowing and aiding them during the process of chart creation, starting from open datasets. Proposed solution syntactically analyses the dataset's values to infer its data types and continually show a list of compatible chart visualisations with the selected dataset and its fields. Instead to start with a catalogue containing all available charts, the system reduces the space of charts proposing any time only those that are compatible. In addition, a well-known barrier in the use of open data is the poor quality of the available datasets, thus, this paper proposes two quality indexes as well as a descriptive indication to evaluate at glance the dataset quality. This provides a quantitative and qualitative measurement to the dataset publishers (e.g., public institutions), who can evaluate the data quality, and also the citizens, who can ask for better open datasets providing a reason for such request.

Keywords: E-Government, Open Data, Chart visualisations, Visualisation Recommendation, Data Type Inferencing

Visual Data Analysis for Hydrological Cycle Classification Based on Physico-Chemical Parameters

Costa Oliveira da Cruz, Brunelli Miranda, Marissa Brasil, Jefferson Magalhães de Morais, Bianchi Serique Meiguins


Water is one of nature’s main resources being the element directly related with maintenance of life in any ecosystem. For mankind, beside the biologic needs, water is used in many sectors of society, and one of them is electricity generation. For the full operation of Hydroelectric plants there is a need to create a huge water reservoir, which transforms the ecosystem and local economy, serving multiple uses, such as tourism, fishing, recreation, sailing, among others. The maintenance in this context is dependent of the quality of water in reservoir, which justifies its continuous monitoring. From the monitored data, it is possible to predict or classify the hydrologic cycle for the reservoir, aiming to support the process of decision about the hydric resources and environmental impact. Thus, this paper presents a practical approach to use visualization techniques based on the PRISMA software, which is a visualization tool with features of multiples views and coordinated databases to identify patterns in hydrologic cycles, considering the psycho-chemical elements existent in the dam water of the Tucuruí Hydroelectric dam from Brazil. Keywords: Hydrological Cycle Classification, Information Visualization, Multiple Coordinate Views


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Chair: Ebad Banissi, London South Bank University, UK

A Review of Ways and Strategies on How to Collaborate in Information Visualization Applications

Nikolas Jorge Santiago Carneiro, Anderson Gregorio Marques Soares, Carlos Gustavo Resque dos Santos, Tiago Davi Oliveira de Araujo, Brunelli Pinto Miranda, Alexandre Abreu de Freitas, Sandro de Paula Mendonça, Jefferson Magalhães de Morais, Bianchi Serique Meiguins


Design and develop collaborative methods in information visualization are a current challenge, hence understand, identify and define the current progress of developed methods to collaborate in information visualization are important. The aim of this work is to review the ways and strategies of how to collaborate in information visualization applications. We surveyed published works that present applications that implements collaborative information visualization techniques and methods. We present a micro level category of identified ways of how the InfoVis applications implements collaboration.

Keywords: Collaborative, Information Visualization

New 3D Visualization and Validation Tool for Displaying Association Rules and Their Associated Classifiers

Mohamed Sami Ounifi1, Hamida Amdouni2, Rafika Ben Elhoussine1, Hammoudi Slimane3 1ISAMM, University of Manouba, Tunisia; 2ESEN, University of Manouba, Tunisia; 3ESEO, Angers, France

The rapid evolution of data generation and storage techniques allowed many organizations to create large databases and store valuable information. These databases are becoming less exploited even when they hide potentially useful knowledge for the organization. The extraction of this buried information inside these voluminous data bases is managed by “Data Mining”. In this context, many association rules extraction techniques have been developed, but the process of presentation and evaluations is not efficient and has yet to be improved. Therefore, solving these problems let us give a general solution that uses a 3D visualization engine and optimization techniques to reliably display and judge association rules and their belonging to their corresponding classes to give decision makers less room for errors.

Keywords: Data mining, Association rules, Classification rules, 3D visualization tool

Smoothed Multiple Binarization - using PQR tree, smoothing, feature vectors and thresholding for matrix reordering Bruno Figueiredo Medina, Willian Hitoshi Kawakami, Celmar Guimarães da Silva, Maressa Rodrigues da Silva

University of Campinas - School of Technology, Brazil

Finding appropriate permutations of rows and columns of a matrix may help users to see hidden patterns in datasets. This paper presents a set of binarization-based matrix reordering algorithms able to reveal some patterns in a quantitative data set. In these algorithms, matrix

binarization converts a matrix into a set of binary ones, from which the algorithms calculate desired groups of similar rows and columns. PQR trees provide a linear order of rows and columns that obey these groups as much as possible. These algorithms use mean or median filter as smoothing techniques to minimize data noise in intermediate matrix permutation steps. They also use feature vectors or thresholding for defining binarization thresholds in intermediate steps. Our experiments with synthetic matrices revealed that our algorithms are competitive with other matrix reordering algorithms in terms of quality of reordering (Moore stress) and runtime. We observed that our set of algorithms is suitable to reveal Circumplex pattern with all tested noise ratios, and other data canonical patterns with low noise ratio.

Keywords: Matrix Reordering, Reordering algorithm, PQR-Tree, Pattern Recognition


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Session iV2016_3.1: 2.3 Information Visualization

Evaluation Chair: Prof. Kazuo Misue, University of Tsukuba, Japan

Visualization of Music Plagiarism: Analysis and Evaluation

Roberto De Prisco1, Nicola Lettieri2, Delfina Malandrino1, Donato Pirozzi1, Gianluca Zaccagnino1, Rocco Zaccagnino1 1University of Salerno, Italy; 2ISFOL, Rome, ITALY

Nowadays plagiarism is an interesting and debated topic in different fields. In music, the plagiarism is a very common phenomenon which touch the vast amounts of money that music melodies are able to generate in today’s pop music market. In a music composition, the melody is assumed to be the most significant factor in a court’s decision about whether a new music composition is an illegitimate version of a pre-existing composition. Despite the wide-spread belief that there is a fixed and trivial number of corresponding notes between two melodies, the similarity analysis is a very complex process. In this paper we address the plagiarism in pop music, and specifically, we study whether visualization can facilitate the task of discovering melodic similarities among musical songs. We compare three approaches that exploit visualization techniques to represent the melodic relations among melodies in order to understand which one is more intuitive and effective in the recognition of melodic similarities. Results of the study provided us with overall positive feedback about the effectiveness of our approaches as well as further directions to explore.

Keywords: Infomation Visualization, Graph Visualization, Music Plagiarism, Melodic Similarity, User Evaluation

Evaluation of Sketchiness as a Visual Variable for 2.5D Treemaps

Daniel Limberger, Carolin Fiedler, Sebastian Hahn, Matthias Trapp, Jürgen Döllner

Hasso Plattner Institute, University of Potsdam, Germany

Interactive 2.5D treemaps serve as an effective tool for the visualization of attributed hierarchies, enabling exploration of non-spatial, multi-variate, hierarchical data. In this paper the suitability of sketchiness as a visual variable, e.g., for uncertainty, is evaluated. Therefore, a design space for sketchy rendering in 2.5D and integration details for real-time applications are presented. The results of three user studies indicate, that sketchiness is a promising candidate for a visual variable that can be used independently and in addition to others, e.g., color and height.

Keywords: Visual Analytics, 2.5D Treemaps, Sketchiness, Visual Variables, Uncertainty

Zoo Graph - a New Visualisation for Biometric System Evaluation

Romain Giot1, Romain Bourqui1, Mohamad El-Abed2 1Univ. Bordeaux / LaBRI, France; 2Rafik Hariri University, Lebanon

Biometric authentication systems suffer from several performance limitations. Many performance metrics exist to assess the overall performance of such systems. However, these metrics provide a quantitative assessment in terms of errors without explaining the reasons

behind the set of users who significantly contributed for these errors. Towards contributing to solve this problem, we present a novel method (named Zoo Graph) to visualize the performance of a biometric system as a graph thanks to a database of recognition scores. Our approach is an improvement of the Zoo Plot and emphasizes on the relations between the individuals of the database and allows interactive manipulations to track these relations and understand why the biometric authentication method reacts this way. This graph provides researchers with an additional visual assessment tool that would identify problematic users. Such information would allow researchers to update their developed authentication algorithms to reduce those errors.

Keywords: node link diagram, interaction, biometric authentication


Applications Chair: Prof. João Moura Pires, FCT, Univ. NOVA de Lisboa, Portugal

LibViews - An Information Visualization Application for Third-Party Libraries on Software Projects

Juliana Ferrarezi1, Mário Popolin Neto1,2, Diego Roberto Colombo Dias3, Marcelo de Paiva Guimarães4, José Remo Ferreira Brega1 1UNESP - Bauru, Brazil; 2IFSP - Registro, Brazil; 3UFSCAR - São Carlo, Brazil; 4UNIFESP - São Paulo, Brazil

Software libraries allow developers to create software projects upon basic functions already implemented. In this way, it is possible to focus on more complex activities to achieve the software solution aims. Software libraries features and availability on the Internet are the reason for these valuable project resources are widely used. However, there may be some issues in software projects that integrate several libraries, since they are independent projects that must work together. This paper presents LibViews, an information visualization application to create visual representations over libraries analysis and usage on software projects. LibViews was developed to provide a better understanding of libraries versions and their role in software projects, helping in the maintenance of these projects identifying previously unknown information. As use case, LibViews was applied in an university corporate software project,


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pointing out as a useful tool to understand the relationship between software project and its third-party libraries.

Keywords: Information Visualization, Libraries, Software Dependencies, Software Library Manager, Third-Party Libraries

A Rule-based Approach for Animating Java Algorithms

Nada Ahmed Hamed Sharaf1, Slim Abdennadher1, Thom Freuhwirth2 1The German University in Cairo, Egypt; 2Ulm University, Germany

Over the past years, visualization of programs has been widely applied. Algorithm animation was proven to aid in teaching and learning. It provides a convenient medium for beginners to a programming language by giving them the ability to visually discover how their programs are running. It also provides experts of a language with a means to have a visual trace utility. Lately, a new approach for adding visualization features into Constraint Handling Rules (CHR) programs was proposed. The new methodology was a dynamic one able to animate different types of algorithms. The work in this paper aims at introducing a revised extension that is able to embed visualization features into Java programs. With the new extension, Java algorithms could be animated without the need of doing any modifications to the code. In addition, the provided technique is still a general one able to animate different kinds of algorithms.

Keywords: Java Programs, Visual Language, Constraint Handling Rules, Algorithm Animation

Browsing Multidimensional Visual Entities

Miguel Filipe Aniceto1, João Moura Pires2, Nuno Datia3, Ana Paula Afonso4 1Deloitte Consultores, Portugal; 2Faculdade de Ciências e Tecnologia - Universidade Nova de Lisboa (FCT-UNL); 3Instituto Superior de Engenharia de Lisboa (ISEL); 4Faculdade de Ciências - Universidade de Lisboa (FCUL)

The field of Information Visualization seeks to identify the general principles of visualization, and makes use of these principles to propose new forms of visualization for specific types of data. Included in these different data types, it was identified a data type which was not thoroughly explored. The notion of entities where each entity is composed by different attributes, and one of these attributes is composed by one picture which invokes a strong feeling of familiarity to the user. The information that we are attempting to visualize is the most basic type of data structure, a table, where the number of entities to visualize should be higher than we can humanely count, yet smaller than a few thousands. In the field of visualization we identified a niche where the main focus is the image, and despite that it has a vast number of applicable scenarios, it hadn't been properly explored. One of the major attempts at doing so, was by Microsoft Live Labs and it demonstrated limitations that will be addressed by our approach. In order to evaluate the proposed forms of visualization they will be applied and evaluated with the Deloitte Portugal organizational case-study.

Keywords: Information Visualization, Data Visualization, PivotViewer


Applications Chair: Dr. Mark Bannatyne, IUPUI, United States of America

An Interactive Interface for Multi-Dimensional Data Stream Analysis

Nuno Cavalheiro Marques, Hugo Santos, Bruno Silva

FCT/UNL, Portugal

Data mining models are frequently used to represent and summarize meaningful properties in data. However such models are usually not suitable for interactive data exploration and visualization. This paper proposes the use of multidimensional projection together with UbiSOM, a recent stream data-mining version of the self- organizing maps algorithm to enable interactive data analysis and visualization. A prototype was developed where, at each moment, the user can visualize the information from different perspectives. Direct interaction with the data analysis algorithm during stream presentation is possible both by changing the projection, by optimizing the projection view for maximizing variance or by filtering the incoming data series. Experiments in two distinct datasets show the importance and relevance of conjoining multidimensional data projection with UbiSOM.


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Keywords: Multi-dimensional data analysis, Self-organizing map, Interactive data analysis, multi-dimensional data projection, Data Streams, Big Data

Visual Interface and Interaction Design for self-service orders at a Restaurant

Yoshiki Shiba, Mariko Sasakura

Okayama University, Japan

In this paper, we propose visual interface and interaction designs for self-ordering systems such as in conveyor belt sushi restaurants. We try to design an interaction in which all people can order foods from their seats at a time without touching any devices. Therefore we design interactions using a three-dimensions motion sensor, Leap Motion Controller. We design three kinds of interactions and have an experiment to compare them. As a result, it is hard to decide which interaction is best because of false recognition by Leap Motion Controller. However, we found a possibility of interaction for using a three dimensions motion sensor. We discuss the result of the experiment in detail.

Keywords: Interaction design, Visual interface, Leap Motion Controller, a self-ordering system at a restaurant.

Visually supporting location and routing decisions in tourist trip planning: An exploratory approach

Rui Borges Lopes1, Tiago Coelho2, Beatriz Sousa Santos3 1DEGEIT/CIDMA, University of Aveiro, Portugal; 2DETI, University of Aveiro, Portugal; 3DETI/IEETA, University of Aveiro. Portugal

This paper presents a new web-based tool which allows the visualization of real online data combined with other relevant information for supporting tourist trip planning decisions. The main decisions intended supporting concern location, namely place to stay, and routing, which sites to visit and the best sequence to visit them. As they are interconnected, location and routing should be addressed simultaneously. The integrated view has been addressed in the literature from a modeling and solution approach perspective; however, lack of comprehensive visualization solutions to help the decision-making process may hinder their real-world applicability. Although this work focuses on a specific application, the tool presented herein can support other real-world location-routing applications (e.g. in logistics). It enables interactive visualizations and navigation in web browsers, and provides functionalities considered important in the context of tourist trip planning. Focus group and usability evaluation were used throughout the development of the tool for collecting information and testing visualizations and interactions.

Keywords: visual exploration tool; tourist trip planning; location-routing; web map service

Short papers

Exploring the Central India Art of the Gond People: contemporary materials and cultural significance

Sidharth Arur, Theodor Wyeld


Prior to the Muslim invasions of the 14th century, the Gond people were a culturally significant tribe in central India. Today, their art and culture is being rediscovered by a local and international audience. This is due mainly to the events of exhibitions by the Gond artist Jangarh Singh Shyam's work in Paris and Japan, in 1988. Since then, other Gond artists have also had their work exhibited internationally. Despite this renewed interest in Gond art, little has been written about their work. While much is known about the people and their customs, little is known about their artworks and what motivates their style of art and the depiction of particular elements in their works. This paper begins to address this apparent gap in the literature by reviewing a recent contemporary art exhibition of Gond art at the Art Gallery of South Australia.

Keywords: Gond, Culture, Art, India

Temporal Data Visualization Technique based on Treemap

Marissa Brasil de Carvalho, Bianchi Serique Meiguins, Jefferson Magalhães de Morais


Many information visualization techniques and tools have been created to analyze and understand temporal data. However, it is noticeable that time dimension is underused in most techniques and tools, used only as an aid in the search for patterns and answers. Therefore, this paper proposes an adaptation of the treemap joined with the calendar metaphor, using time as main attribute to hierarchy configuration and drill down navigation. Time granularity is flexible on granularity levels, and a grouping configuration of one level is used to display the calendar visual representation of that same granularity level. Furthermore, user interaction breadcrumbs are applied in order to provide better linear analysis of temporal characteristics of data without losing data overview. It is also possible to compare multiple different views of various time subsets.

Keywords: Information visualization, treemap, calendar

Session iV2016_3.4: Information Visualisation Chair: Randolph George Goebel, University of Alberta, Canada

Isoline-Enhanced Dynamic Graph Visualization

Michael Burch

VISUS, Germany

Static or dynamic graphs are typically visualized by either node-link diagrams, adjacency matrices, adjacency lists, or hybrids thereof. In particular, for the case of a changing graph structure a viewer wishes to be able to visually compare the graphs in a sequence. Doing such a comparison task rapidly and reliably can give support to visually analyze the dynamic graph for certain dynamic patterns. In this paper we describe a novel dynamic graph visualization that is based on the concept of smooth density fields generated by first splatting the links of a given graph in a certain layout. To further visually enhance the time-varying graph structures we add user-adaptable isolines to the resulting dynamic graph representation. The computed visual encoding of the dynamic graph is aesthetically appealing due to its smooth curves and can additionally be used to do comparisons in a long graph sequence, i.e., from an information visualization perspective it serves as an overview representation supporting to start more


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detailed analyses processes. To demonstrate the usefulness of the technique we explore real-world dynamic graph data by playing around with visual parameters like node-link layouts, smoothing iterations, number of isolines, and different color codings.

Keywords: dynamic graph visualization, graph visualization, isolines, edge splatting

Feature Extraction and Visualization for Symbolic People Flow Data

Yuri Miyagi1, Masaki Onishi2, Chiemi Watanabe3, Takayuki Itoh1, Masahiro Takatsuka4 1Ochanomizu University, Japan; 2AIST, Japan; 3University of Tsukuba, Japan; 4The University of Sydney, Australia

People flow information brings us useful knowledge in various industrial and social fields including

traffic, disaster prevention and marketing. However, it is still an open problem to develop effective people flow analysis techniques. We suppose compression and data mining techniques are especially important

for analysis and visualization of large-scale people flow datasets. This paper presents a visualization tool

for large-scale people flow dataset featuring compression and data mining techniques. This tool firstly compresses the people flow datasets using UniversalSAX, an extended method of SAX (Symbolic

Aggregate Approximation). Next, we apply natural language algorithms to extract movement patterns.

Finally, we visualize trajectories of people flow and extracted features to represent popular walking routes and congestions.

Keywords: People Flow, Visualization


iV2016_ NOTES


F.T. Marchese, E. Banissi (Eds.)

Knowledge Visualization Currents

From Text to Art to Culture

▶ Presents the state of the art in visualization research and development

▶ Highlights research developing at key intersections with other disciplines and

its applicability to addressing complex real-world problems

▶ Discusses how visualization researchers are addressing complex issues of

representation in knowledge, art, and culture

Lying at the intersection of education, art, and cultural heritage, visualization is a powerful tool for representing and interpreting complex information. This unique text/reference reviews the evolution of the field of visualization, providing innovative examples of applied knowledge visualization from disciplines as varied as law, business management, the arts and humanities. With coverage of theoretical and practical aspects of visualization from ancient Sumerian tablets through to twenty-first century legal contracts, this work underscores the important role that the process of visualization plays in extracting, organizing, and crystallizing the concepts found in complex data. Topics and features:

• Contains contributions from an international selection of preeminent authorities • Presents a thorough introduction to the discipline of knowledge visualization, its current state of

affairs and possible future developments • Examines how tables have been used for information visualization in historical textual documents • Discusses the application of visualization techniques for knowledge transfer in business

relationships, and for the linguistic exploration and analysis of sensory descriptions • Investigates the use of visualization to understand orchestral music scores, the optical theory

behind Renaissance art, and to assist in the reconstruction of an historic church • Describes immersive 360 degree stereographic visualization, knowledge-embedded embodied

interaction, and a novel methodology for the analysis of architectural forms This interdisciplinary collection of the state of the art in knowledge visualization will be of considerable interest to researchers from a broad spectrum of backgrounds in both industry and academia.

IEEE Computer Society Order Number: E5814

BMS Part Number: CFP16349-ART

ISBN: 978-1-5090-0811-7

Published by:

Visualisation & Graphics Research Unit London South Bank University

D I G I T A L A R T G A L L E R Y o n l i n e e x h i b i t i o n

July 2016 ~ June 2017

V I R T U A L G A L L E R Y V E N U E

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