Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Wits idea visualization-v0.1

850 views

Published on

Presentation held at WITS 2010, St. Louis 2010-12-11

Published in: Technology
  • Be the first to comment

  • Be the first to like this

Wits idea visualization-v0.1

  1. 1. Exploring Large Collections of Ideas in Collaborative Settings through Visualization<br />> Christoph Riedl<br />Steffen Wagner<br />Jan Marco Leimeister<br />Helmut Krcmar<br />
  2. 2. Having finished implementing LastHistory we wanted to find out how well our considerations had worked and if people would actually find it useful.<br />1. Problem Setting<br />
  3. 3.
  4. 4.
  5. 5.
  6. 6. …<br />
  7. 7. So, there are large data pools…<br />How are ideas currently visualized?<br />
  8. 8.
  9. 9.
  10. 10.
  11. 11. So much for the data space and its attributes. Next, we have to think about who our users are and what they want to do. All lifelogging applications are first of all about<br /> 2. User<br />Requirements<br />
  12. 12. Questions, an Idea Visualization should be able to answer<br />(1) How many ideas are in the idea pool? <br />(2) Who are the most active users? <br />(3) Which ideas have been most commented? <br />(4) Which ideas are similar? <br />(5) Which topics/tags do ideas belong to? <br />(6) Are there groups of related ideas (which could be combined)? <br />(7) Are there relationships between ideas (other than tags)? <br />(8) How have idea submissions/comments developed over time? <br />
  13. 13. Summary of requirements based on expert interviews<br />
  14. 14. 3. IdeaViz<br />
  15. 15.
  16. 16.
  17. 17.
  18. 18.
  19. 19. 4. Initial Validationand Future Work<br />
  20. 20. Would you tell me, please, which<br /> way I ought to go from here?<br />Alice, Alice in Wonderland<br />
  21. 21. Exploring Large Collections of Ideas in Collaborative Settings through Visualization<br />Demo:<br />http://www.ideaontology.org/visualization/demo/visualization.html<br />> Christoph Riedl<br />Steffen Wagner<br />Jan Marco Leimeister<br />Helmut Krcmar<br />riedlc@in.tum.de<br />twitter: @criedl<br />
  22. 22. Image credits:<br />Gallery reception: http://www.flickr.com/photos/bricolage108/319671818/<br />Dell Idea Storm: http://www.ideastorm.com/<br />Starbucks Idea: http://mystarbucksidea.force.com/<br />Salesforce Idea: http://sites.force.com/ideaexchange/<br />Other logos: http://www.bmw.com/, http://www.sapiens.info/, http://ideas.salesforce.com/<br />Information Overload: http://www.flickr.com/photos/verbeeldingskr8/3638834128/#/<br />Notebook scribbles: http://www.flickr.com/photos/cherryboppy/4812211497/<br />La Cuidad: http://www.flickr.com/photos/37645476@N05/3488148351/<br />Papers:<br />[1] Chesbrough, H. Open Innovation: The New Imperative for Creating and Profiting from Technology, Harvard Business School Press, Boston, MA, USA, 2006.<br />[2] Munzner, T. “A Nested Process Model for Visualization Design and Validation,” IEEE Transactions on Visualization and Computer Graphics (15:6), 2009, pp. 921-928.<br />[3] Riedl, C.; May, N.; Finzen, J.; Stathel, S.; Kaufman, V. & Krcmar, H. “An Idea Ontology for Innovation Management,” International Journal on Semantic Web and Information Systems (5:4), 2009, pp. 1-18.<br />[4] Tidwell, J. Designing Interfaces: Patterns for Effective Interaction Design, O'Reilly, Sebastopol, CA, USA, 2006.<br />[5] Vessey, I. “Cognitive Fit: A Theory-Based Analysis of the Graphs Versus Tables Literature,” Decision Sciences (22:2), 1991, pp. 219-240.<br />[6] Ware, C. Information Visualization: Perception for Design, Morgan Kaufmann, San Francisco, CA, USA, 2004.<br />

×