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A Hybrid Recommendation System Based on Human Curiosity
Social workflows - Visionand potential study
Gasimli, NigarD. F. dos Santos, Rebeca Janina
Department of Business Information Systems II, University of Trier, Germany
A Hybrid Recommendation System Based on Human Curiosity
1. Introduction2. General approach and research goals3. A social workflow scenario4. Concept for a social workflow service5. Related work6. Potential study7. Conclusion and future work
Summary
A Hybrid Recommendation System Based on Human Curiosity
Introduction
Lack of support for constructing and executing social workflows
Social workflows
Traditional businessworkflows
A Hybrid Recommendation System Based on Human Curiosity
General approach and research goals
Social workflow: executable process representation in order to provide means to describe and link personal activities and data objects according to procedural rules
Social workflow service: modelling and flexible execution service for social workflows
A Hybrid Recommendation System Based on Human Curiosity
General approach and research goals
Two purposes:
Exploratory investigation for identifying promising application areas for social workflows;
To evaluate the perceived usefullness of the proposed features for the social workflow service
A Hybrid Recommendation System Based on Human Curiosity
A social workflow scenario
Designed according to the personal experiences of students from the University of Trier
Rock festival “Rock am Ring”
Some activities require action by everyone, others only some people, and others can be automated
Goal: support for all those types of activities
A Hybrid Recommendation System Based on Human Curiosity
A social workflow scenario
A Hybrid Recommendation System Based on Human Curiosity
A social workflow scenario
A Hybrid Recommendation System Based on Human Curiosity
A social workflow scenario
A Hybrid Recommendation System Based on Human Curiosity
Concept for a social workflow service Collaborative Agile Knowledge Engine
Implemented in JAVA
A Hybrid Recommendation System Based on Human Curiosity
Concept for a social workflow service Aim: to support workflow modellers without
experience
It integrates results on agile workflows, case-based reasoning (CBR) and web-tecnhologies into a common platform
It implements felxibility by definition, change and underspecification
Correctness-by-construction principle to avoid inconsistent workflows
Agility of the workflow engine is also important
A Hybrid Recommendation System Based on Human Curiosity
Concept for a social workflow service CAKE Cloud Notation (CFCN) for modelling social
workflows
Process-oriented CBR systems support the creation and adaptation of cases in the forma of workflows
Every resource can be tagged with annotations
Navigating in the workflow repository: Using the tags from folksonomy; Start creating a brief sketch of the workflow and
then receiving proposals from the system
A Hybrid Recommendation System Based on Human Curiosity
Concept for a social workflow service Various APIs for communication between users, in
order to propagate all changes on workflows
Client user interfaces: Google Web Toolkit (GWT)
A Hybrid Recommendation System Based on Human Curiosity
Potential study Exploratory study
1. Open questioning to obtain new ideas 2. Closed questioning to concretize and rate these
ideas
Aditional online study
Hypotheses: H1: people are using existing internet services to
perform complex goals that require a structured flow of activities
H2: there are application scenarions in which social workflows can benefit the user
A Hybrid Recommendation System Based on Human Curiosity
Potential study H3: the 5 core features of CAKE are relevant
1. to discover new workflows, 2. to adapt workflows, 3. to invite new friends as workflow participants, 4. to automatically execute a workflow, and 5. to share workflows
A Hybrid Recommendation System Based on Human Curiosity
Exploratory study 1. Open questioning:
delphi method: identification of trends and ideas asked about the benefit of a social workflow
2. Close questioning identification of the usefulness of the ideas Detailed social workflows had to be rated Indicate additional important tasks Another application scenarios
A Hybrid Recommendation System Based on Human Curiosity
Results of the Exploratory study 1. Open questioning:
Experts use the internet for various activities No clear about the estimated potential of a social
workflow; neutral responses
A Hybrid Recommendation System Based on Human Curiosity
Results of the Exploratory study 2. Close questioning
A Hybrid Recommendation System Based on Human Curiosity
Results of the Exploratory study H1 was confirmed H2 was confirmed just after the second iteration H3 was confirmed
A Hybrid Recommendation System Based on Human Curiosity
Online study Do the social workflows could be useful in a group
of people with no experts in process management?
Students of business information systems
1º Scenario: Rock am Rings festival 2º Scenario: searching an apartment in a new city 3º Scenario: moving to a new city
Each scenario in a different survey, spread by mailing and Facebook
Analyse the benefit of the proposed features and rate the social workflows
A Hybrid Recommendation System Based on Human Curiosity
Results of the Online study Individuals require a list of data structure with data
and aggegated objects
These aggregated objects influence the control flow
All scenarios require the integration of cloud services
A Hybrid Recommendation System Based on Human Curiosity
Improvements / Positive Aspects The results show that social workflows are
regarded as important by 92,3%
Potential to be used by private individuals
The integration into a social network facilitates to use social workflows
The sense of collectiveness, reuse and adaptation of social workflows
A Hybrid Recommendation System Based on Human Curiosity
Limitations / Negative Aspects Their current implementation is limited
It would require an initial repository to work well
Challenge: encourage the use of social networks
more tests and implementation are needed
A Hybrid Recommendation System Based on Human Curiosity
Social workflows - Visionand potential study
Thank you
Gracias
Department of Business Information Systems II, University of Trier, Germany
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