Activity based computing - PowerPoint PPT Presentation

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Activity based computing

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Visual basic application for window, web page and PDF tracking ... Pop ups to remind users to name tasks. Adapt to user feedback. VBA code for Outlook, Word and Excel ... – PowerPoint PPT presentation

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Title: Activity based computing


1
Activity based computing
  • Rahul Nair

Advisor Dr. Elizabeth Mynatt Collaborator
Steve Voida
22 April 2004
2
History of Kimura
  • Multitasking support
  • Peripheral displays
  • Background Awareness
  • Montage visualizations

3
Motivation
  • People seldom perform simple atomic actions
  • Look at the big picture
  • Lots of tools to do individual stuff
  • No good way to tie in all the work related to an
    activity
  • But we dont know what an activity is...

4
What is an activity?
  • Different for each individual
  • Granularity varies
  • Getting a masters
  • Printing a paper
  • How do people think about activity?
  • Micro level
  • Monolithic
  • Hierarchical

5
Goals
  • Learn about users mental model
  • Collect the artifacts of an activity
  • Look for links between actions on a computer and
    activities
  • Can we use actions to predict/classify activities?

6
Study Design Alternatives
  • Ethnographic
  • Really difficult to follow people around
  • Limited manpower available
  • Diary study
  • Users often forget to note down tasks
  • Experience Sampling
  • Good compromise between the two
  • Can be made adaptive and context aware

7
Study Design
  • Pre-study questionnaire
  • Record user activities over a 2 week period
  • Documents
  • Email information
  • Web pages
  • Window activity
  • Users name each activity
  • Long semi structured post study interview

8
Software
  • Visual basic application for window, web page and
    PDF tracking
  • Detect task changes using window rhythms
  • Pop ups to remind users to name tasks
  • Adapt to user feedback
  • VBA code for Outlook, Word and Excel
  • Instrumented version of Pine

9
Pilot study
  • 3 users over a one week period
  • Web pages and email contacts provide good
    identification
  • Accuracy is dependant on users task granularity
  • Varies from 40-80
  • Need more data to draw final conclusions

10
Current status
  • Started last week
  • Currently have 8 users
  • Grad students, professors, non academic users
  • Try to get the widest possible range of users
  • Interviews at the end of the two weeks

11
Future work
  • Data analysis
  • Find a common task model for users
  • Integrate with Kimura
  • Indexing activities to aid recall
  • Possible release as a time management tool

12
  • Questions?
  • Would you like to participate? ?

13
Related work
  • Virtual workspaces
  • Rooms, virtual desktop managers, etc...
  • Multitasking studies
  • Gonzalez 04, Czerwinski 04
  • Email studies
  • Bellotti, Gwizdka 02
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