Office Activity Awareness

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Office Activity Awareness

• Ian Li
• Machine Perception
• Spring 2005

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Activity awareness can be good

• Awareness of how one uses time in the office can
  be useful
• Manage activities, coordinate interaction with
  others, and assess your own productivity
• But, too much to remember and recording can be
  tedious

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Computers can help

• Delegate recording of activity to computers
• Can monitor daily
• Can store activity for months and years
• User can focus on analyzing the information at
  the end of the day or week

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What did I do?

• System for office activity detection
• Applied system for productivity assessment

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What is the result?

• System can reliably detect activity in the office
  environment (87-93)
• System can somewhat match the users
  measurements of their own productivity (up to
  74)

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The rest of the talk

• System activity detection
• Application productivity assessment
• Future work

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Sensors for detecting activity
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Data collection tool
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Ground truth for activity detection

• Took snapshot every half minute

sitting
not in space
walking
sitting talking
sitting talking?
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Activity can be detected accurately

• Using microphone and camera features

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Applying to productivity awareness

• Can we measure productivity by looking at
  activities?
• How aware are people of their own productivity?

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Recording productivity

• Measurement of productivity
• What percentage of the past 15 minutes did you
  spend actively engaged in a work-related task?
• Experience sampling technique
• Every 15 minutes the timer plays a bird sound

Bird sound
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Using knowledge of activity is okay for detecting
productivity
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Using raw features is slightly better for
detecting productivity!
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Future work

• Longer deployment of the system
• How many features are sufficient to predict
  productivity?
• Use temporal model (e.g., HMMs)
• Activity-oriented vs. task-oriented measurement
  of productivity
• Other applications of activity awareness
• Setting goals and monitoring completion of goals

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Office Activity Awareness
http//www.cs.cmu.edu/ianl/16899/ will be up by
March 13th for more details or contact me at
ianli_at_cmu.edu

• Ian Li
• Machine Perception
• Spring 2005

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Acknowledgements

• Software development help from Bilge Mutlu and
  James Fogarty
• System deployment participants Anind Dey, Jason
  Hong, Bilge Mutlu, and Pedram Keyani