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Justin Kodama PowerPoint Presentation
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Justin Kodama

Justin Kodama

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Justin Kodama

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  1. JustinKodama InteractiveCognitionLab ShailendraRao • Understanding • Office • Ecologies

  2. Why is it that...

  3. ProjectMotivation • Malone (1983) • Kirsh (2001) • Our Motivation: • Context Aware Office

  4. Everyday Office Spaces • Pre-scientific Notion • Neat

  5. Everyday Office Spaces • Pre-scientific Notion • Scruffy

  6. Hypothesis Neat Scruffy There is a well defined Continuum that ranges from Neat to Scruffy

  7. Folk Beliefs • Value Judgments – Artsy vs. Efficient • Neats don’t lose things • Scruffies discover more connections • Forcing Function

  8. How do we make sense of all of this?

  9. More thana Desk Static Parameters Physical Context Task Parameters Exogenous Factors Behavioral Strategies Work Styles Hojicha = 3 Tasks Chandrasekhar = 1 Task • Physical Context • Static Parameters • Task Parameters • Exogenous Factors • Behavioral Strategies • Work Styles

  10. Data 3 Types • Interviews(9 subjects) • Subject Logs(4 subjects) • Recordings (5 subjects)

  11. Data Interviews • Preliminary Office Tour • Mid-day Interviews • End of Day Interviews

  12. Data Subject Logs • Error • Interruption Subject reports a story of What Happened, When and How

  13. Data Digital Pictures • 3 Subjects • Taken by Subject • Picture Checklist

  14. Data Surveillance Cameras • 2 Subjects • Entire Office Workspace • Interruptions from the Outside World

  15. Method Counting • Tally Major Office Events

  16. Lots of Filing • NeaterOffice Dweller

  17. Put Away Files Poisson Probability = 99.99%

  18. Pull Out Files Poisson Probability = 99.99%

  19. Lots of Piling • ScruffierOffice Dweller

  20. Grabbing Piles Poisson Probability = 97.24%

  21. Moving Piles Poisson Probability = 99.99%

  22. Managing MultipleLayers • Scruffier Office Dweller