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Stairs poster

Stairs poster. Strategies for energy behavior change and information at the point of decision. Goal: Save Energy One Partial Solution: Use Technology to Help People be Smarter About Energy Use Stephen Intille, Ph.D. Technology Director, House_n . Saving energy: the options .

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Stairs poster

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  1. Stairs poster

  2. Strategies for energy behavior change and information at the point of decision Goal:Save Energy One Partial Solution:Use Technology to Help People be Smarter About Energy Use Stephen Intille, Ph.D. Technology Director, House_n

  3. Saving energy: the options • Create new renewable energy sources or make known sources economical • Make devices that consume energy (e.g., vehicles, heating systems) more efficient • Change behavior … so less energy is consumed

  4. Tech driven behavior change understudied “engine behavior”“more promising pathways (technological, behavioral, and institutional)”

  5. What’s the potential savings from behavior? • 10 week pilot study in our live-in laboratory • Studied behavior and electrical power consumption • 37 electrical circuits monitored Manu Gupta

  6. Assumptions • Waste occurs if… • Lights on with nobody in space • Appliances on with nobody around • Appliances on and not being used • Nobody around and HVAC running • Detect location every 8 seconds with various sensors (RFID, switch sensor, etc.)

  7. Analysis Tool • Handlense sensor visualization tool • Developed at House_n Vampire power sources Unused lights & Devices

  8. Study results: 65 days 43%

  9. Study results: 65 days

  10. Study results

  11. The “Smart” Home Not a “smart” home • House_n goal: make technology that helps the home occupant to make decisions • Empower via education at points of decision The Jetsons, 1952

  12. Xanadu House: 1983 (Home automation)

  13. Cross-breeze thought experiment

  14. Cross-breeze thought experiment You setup analgorithm …I’ll find aspecial case tobreak it…Annoying theoccupant…

  15. How do our ideas avoid this fate? Xanadu House (destruction) 1997

  16. A better way: use sensing to teach Sensing monitorsindoor/outdoorenvironment When occupant decides to open window, system teaches how best to do it Subtle cue

  17. Smart Home Intelligent Home Smart People! Make technology that helps the homeoccupant to make decisions (made possible by sensor-enabled environments & devices that provide just-in-time information)

  18. Switch/bend sensors Doors Cabinets Drawers Thresholds Appliances Objects Wearable sensors Accelerometers Heart rate monitor Self report Multi-purpose sensors People-locator tags Auditory sensors Optical sensors • Activity recognition • Eating meals • Talking • Sleeping patterns • Taking medications • Cleaning • Cooking • … newmachinelearningalgorithms Apps exploiting teachable moments Novel apps(e.g., energy, health) Motivate behavior changes;Provide info at teachable moment

  19. Requires computational sensing Requires portable computing Requires attentionto interface design Requires patience(computers excellent at this) Motivating behavior: link advice with activity • Simple messages (points of decision/behavior/consequence) • Right time • Right place • Tailored, non-disruptive • Repeated and consistent • Big impact on behavior change • Substantial gains for preventive medicine • 20% shown for energy

  20. Will just-in-time behavior change work?

  21. Recent example: Toyota Prius “Rarely do I worry about how much gas I’m burning while lead-footing it through town. But after a few days in the new Prius, I became fixated, like a kid staring at a video game, on the fuel-economy numbers flickering at the top of my dashboard. Soon I was poking along at 55 in a 65-mph zone, sweltering with my air-conditioning purposely shut off and the windows rolled up (it cuts down wind resistance). All that so I could nudge my mileage up to the government-rated 48 miles per gallon.” -- The Seattle Times, September 1, 2000

  22. Yes … but timing and presentation critical! • Need • immediate feedback • ability to take action Ernesto Arroyo

  23. Long-Term Impact (Brownell, Stunkard, and Albaum ‘80)

  24. First intervention study (early results) • 39% to 44% (p < .001)

  25. Key: find the “right time” Expected increase Small increase

  26. Finding the right message • Kendall Outbound Station • 5 messages each displayed for 2weeks • Baseline stair use: 31.4% • “Free Workout!” sign: 32.5% • “Feel Good!” sign: 32.5% • “Fight Fat!” sign: 35.8% • Concrete, outcome-orientedmessage results in 4.4% increasein stair use.

  27. Technology enables in-home feedback • Information at time of action • Component technologies enable simple “just in time” cues

  28. Time is right for “just in time” • Relatively few energy behavior studies after ‘80s • Reduced attention to conservation • Cost of providing the information feedback too high • Hard to study the long-term effectiveness of feedback • Time is right to reconsider • Focus on U.S. energy supply • Computational devices lower delivery costs • Living Laboratory and related tool development We can do even better with “just in time feedback”

  29. House_n behavior change design strategies Byron Stigge

  30. House_n examples: energy interfaces • Empowering the user with information(to encourage action)

  31. Our strategy • Understand behavior • Use portable observational sensor kit • Use mobile phones and new wearable sensors • Develop ideas for changing behavior • Present info at points of decision (using sensors) • Make behavior change easy • Evaluate prototype systems • Use portable sensors and observational sensor kit

  32. Testing in real homes • Research on… • Detecting context from home and wearable sensors • Behavior change at points of decision Larger n,in-homestudies Innovative design ideas Pilot Data Design insight Important questions Instrumentedpeople andenvironments Laboratoryprototyping

  33. House_n sensors: object usage MITes • Wireless • Stick-on • Easy

  34. House_n sensors: wearable Context-sensitivequestions accelerometers GPS or GSMlocation

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