Designing for Collaboration: Challenges & Considerations of Multi-Use Information Visualization Tools
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Slides assembled for Human Centered Design & Engineering Preliminary Exam talk at the University of Washington Allen Library Auditorium 4.8.2011. Thanks to Mark Zachry, David McDonald, Elly Searle, Carol Allen, and NSF IIS-0811210.
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Designing for Collaboration: Challenges & Considerations of Multi-Use Information Visualization Tools
- 1. Designing for Collaboration Challenges and Considerations of Multi-Use Information Visualization Tools Stephanie Gokhman April 8, 2011 Allen Library
- 3. Literature Review : What do we know about building systems to support collaboration through visualizations?
- 4. Methods : How do we expose the considerations in designing information visualization tools for collaboration?
- 5. Results & Discussion : What did we find and how does this give us insight into collaborative information visualization tools?
- 6. Future Work
- 12. Set of tools to expose and visualize the relationships between editors and editors and editors and articles on Wikipedia
- 13. Focused on the types of work present in the Wikipedia community
- 14. Help Wikipedians recognize and value work in the Wikipedia community
- 16. Largest, most popular reference work on the Internet, according to Alexa Statistics 1
- 20. observe patterns
- 21. make comparisons through visualizations
- 22. further understanding the community that has generated the body of knowledge
- 25. GitHub 2
- 26. TED Conversations 3 1. http://www.quora.com 2. https://www.github.com 3. http://www.ted.com/conversations
- 28. The complexity of collaborative spaces reveals a large number of tensions within this design space that have not been fully explored
- 29. What are the steps to appropriately design information visualization tools for collaboration?
- 31. What are the fundamental data types?
- 32. What are the biases of the users of Wikipedia?
- 33. What relationships do the users want to see visualized?
- 34. What relationships do the users need to see visualized?
- 36. Represented the multiple dimensions of value and different kinds of data, specifically focused on addressing a contributor as a valued member of the community or a vandal
- 38. Vandal-fighting
- 39. Quality control
- 40. Reversion
- 42. Total Number of edits by editor
- 43. Articles
- 44. Barnstars
- 45. Namespaces
- 50. Graphical Test Bed Storytelling graphic representing interaction of user through markers of appreciation called barnstars, thanks and reversion.
- 52. 43 % 57 % Number of respondents who preferred the graphic Results: Preference vs Performance
- 54. Preference vs. Performance Of the respondents who determined the “Tree” elicited the most understanding only 50% interpreted the display correctly.
- 57. Identified data types which constitute these activities (basis for both calculation and low level representation)
- 58. Identified biases of the collaborative community
- 59. Usage patterns and potential trajectories for system development
- 61. Iteration of survey to validate effectiveness of updated visualizations
- 62. Integrate into collaborative information visualization toolset, Re:Flex
- 63. Questions? Stephanie Gokhman [email_address] Mark Zachry David McDonald Elly Searle Babby Carol Allen Travis Kriplean Ivan Bestachnick Alena Benson Toni Ferro Katie Derthick Special Thanks to: NSF Grant #NSF IIS-0811210