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Justin Kodama. Interactive Cognition Lab. Shailendra Rao. Understanding Office Ecologies. Why is it that. Project Motivation. Malone (1983) Kirsh (2001) Our Motivation: Context Aware Office. Everyday Office Spaces. Pre-scientific Notion Neat. Everyday Office Spaces.
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JustinKodama InteractiveCognitionLab ShailendraRao • Understanding • Office • Ecologies
ProjectMotivation • Malone (1983) • Kirsh (2001) • Our Motivation: • Context Aware Office
Everyday Office Spaces • Pre-scientific Notion • Neat
Everyday Office Spaces • Pre-scientific Notion • Scruffy
Hypothesis Neat Scruffy There is a well defined Continuum that ranges from Neat to Scruffy
Folk Beliefs • Value Judgments – Artsy vs. Efficient • Neats don’t lose things • Scruffies discover more connections • Forcing Function
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
Data 3 Types • Interviews(9 subjects) • Subject Logs(4 subjects) • Recordings (5 subjects)
Data Interviews • Preliminary Office Tour • Mid-day Interviews • End of Day Interviews
Data Subject Logs • Error • Interruption Subject reports a story of What Happened, When and How
Data Digital Pictures • 3 Subjects • Taken by Subject • Picture Checklist
Data Surveillance Cameras • 2 Subjects • Entire Office Workspace • Interruptions from the Outside World
Method Counting • Tally Major Office Events
Lots of Filing • NeaterOffice Dweller
Put Away Files Poisson Probability = 99.99%
Pull Out Files Poisson Probability = 99.99%
Lots of Piling • ScruffierOffice Dweller
Grabbing Piles Poisson Probability = 97.24%
Moving Piles Poisson Probability = 99.99%
Managing MultipleLayers • Scruffier Office Dweller