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ICS 690 talk: Personal Environmental Trainer

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Presentation on PhD proposal ideas presented to University of Hawaii at Manoa ICS 690 seminar.

Presentation on PhD proposal ideas presented to University of Hawaii at Manoa ICS 690 seminar.

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  • 1. The Personal Environmental Trainer Robert S. Brewer Presented to ICS 690 12/4/2008
  • 2. Context
    • My status
      • Working on PhD research portfolio
      • In pre-proposal phase
    • Presentation goals
      • Spur myself to articulate proposal ideas
      • Share those ideas & related work
      • Get feedback
  • 3. The Problem
    • Climate is changing and it’s our fault
      • IPCC report 4
    • Need to reduce GHG emissions
      • Switch to renewable energy sources
      • Many possible sources
    • Reduced energy usage eases burden
      • Increased efficiency
      • Behavior changes
    • IT can play central role
      • Provide awareness of energy usage
      • Support positive behavior changes
  • 4. Core Idea
    • Make energy usage transparent
      • At personal, neighborhood, and state levels
    • Personal Environmental Tracker (PET)
      • Gathers user activity data via sensors
      • Aggregate data in central depot
      • Present data & analyses to user
    • Analyses and UI are the essence of PET
  • 5. PET Background
    • Energy usage feedback -> 10-15% reduction
      • S. Darby 2006 for survey of many studies
    • Carbon calculators provide estimates
      • Broad estimates based on recollection
      • J. Murray & C. Dey 2007 for survey
    • Systems for manually tracking footprint
      • StepGreen , mobGAS
    • Systems for tracking one aspect
      • Ecorio , TED , Dopplr
  • 6. Two Directions
    • Sensors and sensorbase provide the plumbing
    • Two ideas for UI focus
      • 1. Comprehensive carbon dashboard
      • 2. Multi-level electricity feedback display
  • 7. 1: Dashboard Description
    • Comprehensive, sensor-based carbon footprint
      • Track electricity, ground transport, flights
      • Data from physical & informational sensors
    • Integrated display allows rational decisions
      • What areas should be prioritized
    • Support behavior modification
      • No one set of “best” modifications
      • Explore “what-if” scenarios
    • Provide comparisons to other similar people
      • Compare against friends, neighbors, averages
  • 8. Dashboard “Secret Sauce”
    • Footprint based on data from diverse sources
      • Other systems are either broad or use sensors, not both
    • Explore what-if across sources of emissions
      • How many long showers = cross Pacific airline flight
    • Suggestions based on knowledge about user
      • Sensor data can guide recommendations
  • 9. Dashboard Scenario
    • Kimo starts using Dashboard
      • Builds up data about daily activities
    • Kimo feels guilty about taking long showers
      • Electricity usage higher than neighbors
      • Dashboard suggests reducing hot water temp
      • Further option of solar hot water suggested
    • But Kimo likes his showers hot
      • Taking bus once a week = lots of showers
      • Kimo decides to take the bus on Fridays
      • After a few weeks, decides bus isn’t so bad
      • Kimo starts taking the bus every day
  • 10. Building Dashboard
    • Leverage existing infrastructure
      • Sensors: TED, GeoLife or Ecorio, Dopplr
      • Storage: Pachube , sensorbase.org
    • Web app to display data & analyses
      • Full functionality for display & interaction
    • Social applications: Facebook, Twitter, Ning
      • Display updates to self and friends
      • Others can be inspired by your choices
      • Use friends to build comparison list
      • Your commitments are public
  • 11. Evaluating Dashboard
    • Physical sensors can be expensive
      • Provide ways to enter estimates manually
      • Evaluate UI and utility of analysis
    • Pilot study
      • Test initial design, get feedback, eval again
    • Small group of subjects get sensors
      • Elicit baseline data from previous year
      • Equip subjects with sensors
      • Record data & provide consumption feedback
      • Survey subjects on their experiences
      • Track changes in carbon footprint
  • 12. 2: Electricity Feedback
    • Electricity feedback can reduce usage
      • Real-time feedback is best
      • Time-of-use rate awareness also helps
    • Comparison with peers can also help
      • Need to compare apples to apples
      • Don’t want to demotivate low consumers
    • Utilities track generation & consumption
      • Real time in CA during 2000 energy crisis
      • Bad news when demand exceeds supply
  • 13. Electricity Feedback “Secret Sauce”
    • Put them all together
      • Collect personal, community, and utility data
      • Combine together in one UI
    • Does utility data help?
      • Will users reduce load when utility is overloaded?
  • 14. Electricity Feedback Scenario
    • Lani is running the dishwasher
      • Notices the electricity meter shooting up
      • Heat drying dishes uses lots of juice
      • Decides to air dry dishes in the future
    • Lani notices her daytime usage is > neighbors
      • Looks for devices left on while she’s at work
      • Finds fan & air filter have been left on
    • HECO heading into a crisis on hot windless eve
      • Demand is high due to AC usage
      • Renewable energy from wind farm way down
      • Lani decides to open windows & reads a book
  • 15. Building Electricity Feedback
    • Same data plumbing as Dashboard
    • Utility data harder
      • Monthly trend reports available
      • Real-time data requires HECO participation
      • HECO planning time-of-use pricing
    • Ambient display to make users aware
      • LCD display in home? Chumby ?
      • Can provide “glanceable” display on cell phones
  • 16. Evaluating Electricity Feedback
    • HECO participation = high risk
      • Making data available benefits them
      • But if they cannot execute, then give up
    • Recruit small group of subjects
      • Install meters in homes
      • Record baseline usage
      • Install display showing only personal usage
      • Later add utility usage
      • Survey subjects on behavior changes
      • Track changes in electricity usage
  • 17. Common Issues
    • Getting subjects & sensors is a pain
      • But without them, what’s the point?
    • Success shouldn’t lie solely on energy reduction
      • Evaluate UI affordances separately
    • IT also has environmental impact
      • Ensure net reduction in energy
    • Motivating behavior change
      • Many systems provide awareness
      • Need to change awareness to action
  • 18. Mahalo
    • Questions?
    • Comments?
    • Suggestions?
    • Interested in being a future subject? 