The dubuque electricity portal/WookjaeMaeng

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The Dubuque Electricity Portal: Evaluation of a City-Scale Residential Electricity Consumption Feedback System
+ CHI 2013
-Thomas Erickson
/맹욱재
x 2013 fall

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The dubuque electricity portal/WookjaeMaeng

  1. 1. The Dubuque Electricity Portal: Evaluation of a City-Scale Residential Electricity Consumption Feedback System + CHI 2013 -Thomas Erickson /맹욱재 x 2013 fall
  2. 2. The Dubuque Electricity Portal: Evaluation of a City-Scale Residential Electricity Consumption Feedback System 2013.10.16 Wookjae Maeng
  3. 3. Why this paper? • ICT policy project • Curious about the way of evaluation 3
  4. 4. Dubuque? 4 http://www.popsci.com/science/article/2011-11/data-transforming-dubuque-and-it-will-transform-your-city-too
  5. 5. Author Thomas Erickson interaction designer and researcher Social Computing Group at IBM's Watson Labs http://researcher.watson.ibm.com/researcher/view.php?person=us-snowfall 5
  6. 6. Abstract Dubuque Electricity Portal for volunteering reduction Log, Survey, interview 20weeks pilot, 765 household 3.7% reduction Understanding of usage↑ 6
  7. 7. Problem • Energy consumption is critical global issue • In developed, developing countries • Side effect : CO2 emission, ecology damage • Among U.S’s Electricity consumption 37% from home 7
  8. 8. Previous Work 8 Sustainability Environmental PsychologyHCI
  9. 9. Previous Work 2 9 ECF(Electricity Consumption Feedback) techniques 1. Feedback (show how much they use) 2. incentive (points, pricing, differential pricing) 3. Comparisons (between individuals, group) 4. Goal-setting 5. Commitment (elicit public commitment)
  10. 10. System • The Site strong sustainability agenda city smart electricity meters are deployed • The System every 15min transmit data to gateway Data was stored and uploaded in cloud analyzed, fed back to web portal not track individual device but high, medium, low load device 10
  11. 11. Solution 11 Figure 2 on this paper
  12. 12. Pilot project • 765 neighborhood – 20 weeks • First log in – fill in profile for customizing size of household, type of device • Survey, interview for UX qualitative data 12
  13. 13. Survey • Survey – 32 questions, 10min multiple choice, Likert scale, open-ended 1. Why? 2. How often? If answer > 1 go next question else go final question 3. Portal UI – value, degree(cue for picture) 4. Effects on understanding and use 5. Physical or Behavior Change • Distributed by email when the pilot ended 22% answer (116/561) 13
  14. 14. Survey 2 • Privacy requirement – link survey to log data X • 34% - logged on > 1 (91 survey, 266 log) • 53% response rate of logged on > 1 • 5% never use (25 survey, 490 log) 14
  15. 15. Interview • 18( 1 couple, 4 women, 13 men) • 23 ~ 90 years old • Most single-family, living with spouse • 33% having children • Recruited by city employee most engaged, active participants • 45 min • 15 city office, 2 participant’s office, 1 restaurant 15
  16. 16. Interview 2 • Semi-structured • Informant’s background and household • Same with survey • Discussing their experience with others? • How the portal could be improved? 16
  17. 17. Result - Survey 17 • 35% use > 1 from log(= water portal) opt-in energy conservation program < 10% • Reasons over 90% 1. interest in reducing electricity costs 2. belief in the importance of sustainability of city 3. Concern about the environment 4. Dislike of waste and a preference for being frugal – Curious about the tech : 84% – Concern about climate change : 72% – Good educational experience : 59% 91% conserve electricity before : highly motivated
  18. 18. Result 2 - Survey 18 • Barriers 51% no difficulties problem with ID or password : 42% difficulty in finding the site : 12% can’t see their data : 4% • Complexity of initial password from privacy issue( mixed number and upper, lower case) • Forgetting password : 27% no time : 26% integrating into ordinary life is hard too difficult (5%), too complicated(4%)
  19. 19. Result 3 - Survey 19 • Degree of use log in > 5 / week : 12% 1 / week : 18% occasional : 31% rare : 25% don’t recall : 14% • Baseline consumption checker frequently at first(30%), regularly(20%) 30% 30% 40%
  20. 20. Result 20Figure 3 on this paper
  21. 21. Result 4 - Survey • Time based got good score • Alert, Facebook Chat require menu access • Clear correlation between UI component and understanding how they use • Comparison by Neighbor, Alerts, Facebook chat were bad. 21
  22. 22. Result 5 - Interview • Incentives many : comparing with themselves others : comparing with similar neighbor fixed itself No points from direction • Context average temperature, degree of heating/cooling days vacation or not 22
  23. 23. Result – Impact of portal use 23 Exceptional Participants 266 participant 3.7% reduction <= Already taken actions Small support 61% at least one change in infra - unplugging(40%) 42% plan for change - energy star appliance(28%) 69% at least one change in behavior - non peak period(51%) - less use of light(33%) - short shower, dishwasher cycle(32%) table 1 on this paper
  24. 24. Discussion • Limitation 1. Not random samples – smart electricity meter particular social economic characteristic - single family, blue or white color jobs, retired - internet literate 2. Volunteers - highly motivated - already taken many actions to conserve 3. Over-represent of participant from survey, interview 24
  25. 25. Discussion 2 • Accessibility difficulty with ID and password complexity can estimate waking up, sleeping, vacation unfavorable comparison => biometrics to single sign on • Engagement collective attention from campaign 25
  26. 26. Discussion • Manner of use time-based visualization – historic feedback multiple feedback options chat failure – face to face conversation, not privacy => larger set will be solved => linking to local discussion • Credibility big spike – system error but refrigerator defrost cycle, dehumidheater electricity consumption is invisible => list of possible explanation alert should be informative 26
  27. 27. Contribution • HCI에서 sustainability design approach a lot few field study, identifying gap between real and theory • thorough evaluation - 20 weeks,765 household, log, survey, 18 interview 27
  28. 28. Generalizing to Me • ECF? -> Electricity Consumption Feedback! • HVAC? -> Heating Ventilating Air Conditioning • Environmental Psychology • Good reference for public data visualization • Insight from limitation and result • Curious about implementing in Korea 28
  29. 29. Sharing • What is the bad points of this paper? • How do you think about implementing in Korea, further issues? • Any idea about improving chat, interaction with other users? 29

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