Describes the UbiGreen project at the University of Washington (joint with CMU, Intel Labs, and Microsoft Research). The project attempts to use low-cost sensing, inference, and feedback to allow people to make better choices with respect to their use of precious resources. This project is an example of the larger thrust of activity-based ubiquitous computing.
This was presented at the 3rd U.S.-China Computer Science Leadership Summit at Peking University, Beijing China on June 15, 2010.
Environmental Sustainability Through Activity-based Computing
1. Environmental Sustainability through Activity-based Computing James LandayShort-Dooley ProfessorComputer Science & EngineeringUniversity of Washington 3rd US-China CS Leadership SummitPeking UniversityJune 14-15, 2010 Visiting Faculty ResearcherMicrosoft Research Asia
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4. Landay, Borriello, Fogarty, Patel ubigreenGiving people the tools to reduce resource usage ubigreencombines low-cost sensors, inference, & user feedback to track resource usage & “reward” green behaviors envisioned ambient display showing monthly and daily resource usage
11. ubigreen transportation display Prototyped in 3 days 4 weeks for final system two versions – easy w/ AD Pilot field study 12 in Seattle/Pittsburgh ran prototype for 2-4 weeks Results many wanted to keep using saw some behavior “change” liked unfolding story
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13. one attached to outside of breaker box contact-less current sensor Ubicomp 2008
25. Tested in 10 Homes outdoor hose spigot utility faucet water heater 98% aggregate accuracy in controlled experimentfor detecting open/close valve events
26. HydroSense 2.0 Identify partial valve open/close events Compound fixture events Compound hot/cold events Automatically distinguish hot vs. cold water Automatically detect type of fixture
28. Environmental Sustainability Through Activity-Based Computing Help people to improve their environmental behavior use long-lived activity as the primary organizing focus Solve these problems using sensing: low cost, using existing infrastructure inference: actions & high level activities feedback: ambient on phones, web, & decorative objects 27
29. Environmental Sustainability through Activity-based Computing James LandayShort-Dooley ProfessorComputer Science & EngineeringUniversity of Washington 3rd US-China CS Leadership Summit Peking UniversityJune 14-15, 2010 Visiting Faculty ResearcherMicrosoft Research Asia landay@cs.washington.edu http://dub.washington.edu
Editor's Notes
[20 minute goal, took 22 minutes, with a couple of questions along the way]
Locke and Latham summarize 35 years of research into the effect of goals on behavior:Goals serve a directive function; they direct attention and effort toward goal-relevant activitiesGoals have an energizing function. Hard goals lead to greater effort than easy goals.Goals affect persistence. Hard goals prolong effort (LaPorte & Nath, 1976).I’ll talk more about how goals have been used to motivate environmental behavior with eco-feedback technology in the next part of the talk.