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IM Power Project Summer 2007

IM Power Project Summer 2007. Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey. Goals. Motivation reduce the amount of idle time to decrease carbon emissions (i.e. ecological footprint) Determine Average user idle time Reasons for idle time

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IM Power Project Summer 2007

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  1. IM Power ProjectSummer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey

  2. Goals • Motivation • reduce the amount of idle time to decrease carbon emissions (i.e. ecological footprint) • Determine • Average user idle time • Reasons for idle time • How to cause user reduce idle time

  3. Set-Up • Subjects • Completed two week monitoring: 50 • Laptop users: 40 • Desktop users: 10 • Completed study: • ~30 laptop users • desktop users TBA

  4. Set-Up (cont.) • Randomly chosen for interview: 15 • so far: 8 laptop users, desktop users TBA • 8 laptop interviewees also gave preliminary opinions on feedback devices • All subjects • Bot diary on last day • Daily survey each night before logging off

  5. Daily Survey • Were you logged onto primary your computer while online today? If not, at what times? • How many hours did you spend using the computer? • What was the shortest/longest amount of time that you stayed online? • How long was your computer performing assigned tasks requiring no input (i.e. virus scan)? How long was it not? • What power mode was your computer in today? • Describe all the times that you went idle and why. • What programs were you running today?

  6. Bot Diary Every time a user came back from idle on last day: • Hello, it looks like you just returned from being idle. • What were you just doing just now? • What was your computer doing this time?

  7. Information We Were Looking For • Time of status changes • Frequency and duration of idle times • User awareness • when they were idle • what their power settings were • what programs they were running. • Interviews to get more in-depth information about reasons for idle time

  8. Our Findings - General Surveys • 95% of users run their computer on AC. • Biggest motivators for energy saving • Money • Altruism • About half of users use automatic standby/sleep setting

  9. Our Findings - Interviews (Daily Surveys and Logs) • Most idle time for short periods (i.e. eating, cooking, bathroom, phone, etc.) • The average user • believes turning the computer off extends the life of the machine • leaves their computer on for easy access • Most common running programs: web browser, followed by the email client • Most users run a screen saver, but only about half run anti-virus software

  10. Suggestions For those running nothing while idle: roughly 85% • "Consider turning your computer off when you won't be using it for 30 minutes or more." (roughly 50%) • "Turn off your computer when you go to sleep." (less than 5%) • "Program your settings to automatically put your computer to sleep after 10 minutes of being idle." (roughly 10%) **The percentage of users in this category that ALWAYS leave their computer in full power mode is about 60%.

  11. Initial Technology • AIM bot • Built with AIM SDK in Java • Keeps subjects in Buddy List • Records status changes of all subjects • Accepts commands from experimenter • diary study • survey reminders

  12. Additional Technology • Sensor • In Java • Records processes, CPU usage, TCP usage • Updates database every minute • Logger • In Ruby • Provides access to database through URL, e.g. http://impowerwebsite.org/log/:datatype/:userid/ :timestamp/:eventid/:eventname/:notes

  13. Phase II – Behavior Change Choices • Variables • Modalities • Content

  14. Phase II – Behavior Change Choices • Variables • guilt vs. reward • awareness vs. suggestions • frequency of feedback • historic vs. real time information • Modalities • Content

  15. Phase II – Behavior Change Choices • Variables • guilt vs. reward • awareness vs. suggestions • frequency of feedback • historic vs. real time information • Modalities • Content

  16. Phase II – Behavior Change Choices • Variables • Modalities • window (constant or pop-up) • instant message • tray icon • cell phone text message • audio • screen saver • Content

  17. Phase II – Behavior Change Choices • Variables • Modalities • window (constantor pop-up) • instant message • tray icon • cell phone text message • audio • screen saver • Content

  18. Phase II – Behavior Change Choices • Variables • Modalities • Content • kwh of energy • dollars • pounds of co2 • trees • hours

  19. Phase II – Behavior Change Choices • Variables • Modalities • Content • kwh of energy • dollars • pounds of co2 • trees • hours

  20. Phase II – Behavior Change Choices • Variables • Modalities • Content • kwh of energy • dollars • pounds of co2 • trees • hours

  21. Phase II – Behavior Change Choices • Variables • Modalities • Content • kwh of energy • dollars • pounds of co2 • trees • hours

  22. Phase II – Behavior Change Choices • Variables • Modalities • Content • kwh of energy • dollars • pounds of co2 • trees • hours

  23. Phase II – Behavior Change Choices • Variables • Modalities • Content • kwh of energy • dollars • pounds of co2 • trees • hours

  24. Phase II – Behavior Change Choices • Variables • Modalities • Content • kwh of energy • dollars • pounds of co2 • trees • hours

  25. Tentative Plans • Study effect of personalized suggestions on behavior change • Hypothesis • Personalized suggestions will cause greater change than awareness alone • Measure • Energy saving attitudes • Surveys, interviews • Idle behavior • Bot, sensor

  26. Tentative Plans • 60 participants • 1 week baseline • 2 weeks with feedback • 3 groups • Idle cost • Idle cost + generic suggestions • Idle cost + personalized updates + opportunity

  27. Three Feedback Types • Group 1 • No suggestions. • Group 2 • Turn your computer off at night. • Group 3 • Instead of downloading at night, download over lunch and turn your computer off at night.

  28. Components • AIM bot • Sends info to logger about user status changes whenever they happen • Sends suggestion to database when user comes off of idle • Feedback program • Logger • Database

  29. Components • AIM bot • Feedback program • Installed on client machines • Sends CPU/TCP usage • Retrieves idle time, suggestions, status • Window • Logger • Database

  30. Components • AIM bot • Feedback program • Logger • Provides access to database via URLs as before • Database

  31. Components • AIM bot • Feedback program • Logger • Database • Stores AIM status and CPU/TCP data

  32. Suggestions • Hand generated for each user after baseline • AIM bot chooses best • Priority during current time period • When same suggestion was last sent • Displayed in window

  33. Window • Projected annual cost based on today • Change from baseline projection • Change from yesterday’s projection • Suggestion when user comes back from being idle

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