+ All Categories
Home > Documents > IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

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

Date post: 08-Jan-2018
Category:
Upload: donna-waters
View: 215 times
Download: 1 times
Share this document with a friend
Description:
Set-Up  Subjects Completed two week monitoring: 50 Laptop users: 40 Desktop users: 10 Completed study:  ~30 laptop users  desktop users TBA
33
IM Power Project IM Power Project Summer 2007 Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey
Transcript
Page 1: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

IM Power ProjectIM Power ProjectSummer 2007Summer 2007

Raye GomezApril WenselHeather TomkoJen Mankoff (mentor)Anind Dey

Page 2: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

GoalsGoals

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

Page 3: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Set-UpSet-Up

Subjects Completed two week monitoring: 50 Laptop users: 40 Desktop users: 10 Completed study:

~30 laptop users desktop users TBA

Page 4: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Set-Up (cont.)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

Page 5: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Daily SurveyDaily 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?

Page 6: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Bot DiaryBot 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?

Page 7: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Information We Were Looking ForInformation 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

Page 8: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Our Findings - General SurveysOur 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

Page 9: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Our Findings - Interviews Our Findings - Interviews (Daily Surveys and Logs)(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

Page 10: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

SuggestionsSuggestions

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%.

Page 11: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Initial TechnologyInitial 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

Page 12: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Additional TechnologyAdditional 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

Page 13: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

Page 14: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables guilt vs. reward awareness vs. suggestions frequency of feedback historic vs. real time information

Modalities Content

Page 15: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables guilt vs. reward awareness vs. suggestions frequency of feedback historic vs. real time information

Modalities Content

Page 16: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities

window (constant or pop-up) instant message tray icon cell phone text message audio screen saver

Content

Page 17: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities

window (constant or pop-up) instant message tray icon cell phone text message audio screen saver

Content

Page 18: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

kwh of energy dollars pounds of co2 trees hours

Page 19: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

kwh of energy dollars pounds of co2 trees hours

Page 20: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

kwh of energy dollars pounds of co2 trees hours

Page 21: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

kwh of energy dollars pounds of co2 trees hours

Page 22: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

kwh of energy dollars pounds of co2 trees hours

Page 23: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

kwh of energy dollars pounds of co2 trees hours

Page 24: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Phase II – Behavior Change ChoicesPhase II – Behavior Change Choices

Variables Modalities Content

kwh of energy dollars pounds of co2 trees hours

Page 25: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Tentative PlansTentative 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

Page 26: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Tentative PlansTentative Plans

60 participants 1 week baseline 2 weeks with feedback 3 groups

Idle cost Idle cost + generic suggestions Idle cost + personalized updates +

opportunity

Page 27: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

Three Feedback TypesThree 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.

Page 28: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

ComponentsComponents

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

Page 29: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

ComponentsComponents

AIM bot Feedback program

Installed on client machines Sends CPU/TCP usage Retrieves idle time, suggestions, status Window

Logger Database

Page 30: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

ComponentsComponents

AIM bot Feedback program Logger

Provides access to database via URLs as before

Database

Page 31: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

ComponentsComponents

AIM bot Feedback program Logger Database

Stores AIM status and CPU/TCP data

Page 32: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

SuggestionsSuggestions

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

Page 33: IM Power Project Summer 2007 Raye Gomez April Wensel Heather Tomko Jen Mankoff (mentor) Anind Dey.

WindowWindow

Projected annual cost based on today Change from baseline projection Change from yesterday’s projection Suggestion when user comes

back from being idle


Recommended