Steg08 Ckma08

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Collaborative Storytelling in the Web 2.0 by Yiwei Cao, Ralf Klamma and Andrea Martini at STEG08 i.c.w. EC-TEL08

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  • Steg08 Ckma08

    1. 1. Collaborative Storytelling in the Web 2.0 Yiwei Cao , Ralf Klamma, and Andrea Martini Informatik 5 (Information Systems), RWTH Aachen University 16.09.2008 Maastricht, the Netherlands First Workshop on Story-Telling and Educational Gaming (STEG ‘08)
    2. 2. Agenda <ul><li>Introduction </li></ul><ul><li>State of the Art: Web 2.0 and Community of Practice </li></ul><ul><li>PESE - Personal Expert finding and Storytelling Environment </li></ul><ul><ul><li>PESE as Evolution of MIST into the Web 2.0 </li></ul></ul><ul><ul><li>The PESE Concept </li></ul></ul><ul><ul><li>The PESE Story </li></ul></ul><ul><ul><li>The Profile Based Story Search </li></ul></ul><ul><li>Implementation of the PESE Prototype </li></ul><ul><li>Evaluation of the PESE Prototype </li></ul><ul><li>Conclusions </li></ul>
    3. 3. Introduction - Motivation <ul><li>New models of participation on the Web 2.0 </li></ul><ul><ul><li>Flickr.com, YouTube – the multimedia Web 2.0 </li></ul></ul><ul><ul><li>Prosumers – amateurs and experts </li></ul></ul><ul><li>From storytelling to educational gaming </li></ul><ul><ul><li>Stories lay the foundation for successful games </li></ul></ul><ul><ul><li>Emotional identification of listeners/gamers </li></ul></ul>Presented at ICWL 2008: M. Spaniol, Y. Cao, R. Klamma, P. Moreno-Ger, B. Fernándaz Manjón, J. Luis Sierra, G. Toubekis: From Story-Telling to Educational Gaming: The Bamiyan Valley Case , in: Proceedings of 7th ICWL, Jinhua, China, August, 2008, pp. 253-264
    4. 4. State of the Art: Web 2.0 and “Communities of Practice” Web 2.0 “ The long tail” Collective intelligence Web as a platform [O‘ Reilly 05] Data is the next Intel Inside Users add value Cooperate, don’t control Some rights reserved Beyond a single device Expert finding Community of Practice Storytelling <ul><li>Del.icio.us </li></ul><ul><li>Digg </li></ul><ul><li>Wikipedia </li></ul><ul><li>Amazon </li></ul><ul><li>eBay </li></ul><ul><li>iGoogle </li></ul><ul><li>YouTube </li></ul><ul><li>Facebook </li></ul><ul><li>MySpace </li></ul>[Wenger 98] Mutual engagement A joint enterprise A shared repertoire Web as a platform “ The long tail” Collective intelligence
    5. 5. From MIST to PESE <ul><li>Creation and consumption of non-linear digital stories </li></ul><ul><li>Problems </li></ul><ul><li>Single-User </li></ul><ul><li>No feedback mechanism </li></ul><ul><li>Standalone installation on the client side </li></ul>MIST – Media Integrated Story-Telling [Spaniol et al. 06]
    6. 6. PESE: A Web 2.0 Service for Collaborative Storytelling
    7. 7. Concept of PESE MIST PESE Collaborative Storytelling Ranking Expert finding Search and consumption of stories
    8. 8. The PESE Story <ul><li>Extending the MIST story </li></ul><ul><li>Using CSU (Central Story Unit) </li></ul><ul><li>Annotating stories by various users </li></ul><ul><li>Rating stories by answering different questions </li></ul><ul><li>Components of a story project </li></ul><ul><ul><li>Begin and End </li></ul></ul><ul><ul><li>Team member with different production roles </li></ul></ul><ul><ul><li>Stories and associated keywords </li></ul></ul>
    9. 9. Profile Based Story Search
    10. 10. Implementation of the PESE Prototype <ul><li>Service oriented architecture </li></ul><ul><li>The LAS Framework </li></ul>
    11. 11. Evaluation of the PESE Prototype <ul><li>Test and evaluation of the questionnaires </li></ul><ul><li>Evaluation of the profile based story search </li></ul><ul><li>Evaluation of the expert finding algorithms </li></ul><ul><li>Test bed: MobSOS: data collection [Klamma et al. 08] </li></ul><ul><li>Use SPSS: relevant data analysis and evaluation </li></ul>
    12. 12. Storytelling Expert Finding <ul><li>New Measure for Knowledge in a Community </li></ul>Expert value Mean: 0,2624 # Entries: 99.778 Frequency
    13. 13. Story-tellling Expert Finding Keywords Expert values <ul><li>Knowledge value of community sorted by keywords </li></ul># Recommendations Expert Amateur
    14. 14. Conclusions <ul><li>Realization and evaluation of a Web 2.0 style storytelling environment for Communities of Practice </li></ul><ul><ul><li>YouTube like Web interface </li></ul></ul><ul><ul><li>Integration of MIST as story editor and player </li></ul></ul><ul><ul><li>Profile-based story search </li></ul></ul><ul><ul><li>Expert finding </li></ul></ul><ul><li>Successful Evaluation </li></ul><ul><ul><li>Application of MobSOS Community System Success Model </li></ul></ul><ul><ul><li>New measure for expert values in Communities of Practice </li></ul></ul><ul><li>Future Steps </li></ul><ul><ul><li>Improvements of performance and usability </li></ul></ul><ul><ul><li>Use as a learning service in the ROLE project </li></ul></ul><ul><ul><li>Integration with game engines for user generated games </li></ul></ul>

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