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1 | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through a Pin-based Annotation System CSCLCROWD Workshop

| Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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Page 1: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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| Seungjae Oh, Kyudong Park, Hyo-Jeong So |

| Human-centered Design and Technology Lab, POSTECH |

| 2015. 6. 7 |

From Crowdsourcing to Crowdlearningthrough a Pin-based Annotation System

CSCLCROWD Workshop

Page 2: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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1-1 Motivation

1-2 Participatory Design Work-

shops

1 Project Introduction

3 Let’s Solve Missions

3-1 Why?

3-2 Missions

2 System Implementa-tion2-1 Overall System Architec-

ture

4 Question Pins:Pin-based Annotation

4-1 Why?

4-2 A new post-comment inter-

face

Contents

Page 3: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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Dilemma: Children & New digital media

1. Motivation

2. Participatory Design Workshop

Project Intro-duction

SNS with Mobile De-

vice+ =

- LBS (location-based)- Gamification- Learning Analyt-ics

Crowdlearning

Users’ needs, Feedback, Evaluation, Re-design with Key stakehold-ers

Page 4: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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Overall System ArchitectureSystemImplementa-tion

LBS Gamifica-tion

Learning Analyt-ics

Page 5: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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1. Why?

• Our system offers a wide range of location-based learning mis-sions

• Lead user to generate diverse activities based on their interest

and context

2. Missions

System-generated missions

• Location-specific missions

e.g. Post about “acceleration of gravity” when you visit the Seoul National

Science Museum

• Theme-specific missions

e.g. Take a photo of differently shaped & colored fallen leaves

User-generated missions

• Expect personalized play experiences

• Promote social engagement.

Let’s Solve Mission To help users to learn about diverse themes in their surroundings through out-

door activities

Page 6: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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Several Issues in current posting and commenting interfaces in So-cial Network Services (SNS)

1. Why?

• Not effectively support collaborative discussion about postings with photo

• Not efficiently facilitate learning from crowdsourced comments on the

postings

2. A new post-comment interface

Pin-based annotation system

• Marking a pin on a photo when posting to specify posting intention

• Locating a pin to elaborate discussion about a photo with comments

Functionality

• Posting: Descriptions/ Tags/ Pin

• Commenting:

- Sequence of comments: Brightness of pins

- Topic of discussion: Frequency and distribution of pins

- Conclusion of discussion: Comments with many ‘like’

Question Pins: Pin-based Annotation

Page 7: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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Thank YouE-mail: [email protected]

Page 8: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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1. Gamification (Top-down vs. Bottom-up)Appendix. 1

To engage users, we have employed not only top-down but also bottom-up gamification mechanisms in our application design.

Top-down mechanism : refers to pre-defined reward-based gamification strategies often called BLAP (Badges, Levels & Leaderboards, Achievements, and Points).

Bottom-up mechanism : means gamification strategies promoting users’ in-trinsic motivation by providing personalized play ex-periences and social engagement.

Specially, we have focused on User-Generated Mis-sions (UGM) to promote users’ intrinsic motivation and participation by means of bottom-up gamifica-tion approaches.

Page 9: | Seungjae Oh, Kyudong Park, Hyo-Jeong So | | Human-centered Design and Technology Lab, POSTECH | | 2015. 6. 7 | From Crowdsourcing to Crowdlearning through

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Screenshots of the applicationAppendix. 2