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.

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