Download - The dubuque electricity portal/WookjaeMaeng
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The Dubuque Electricity Portal:Evaluation of a City-Scale Residential Electricity Con-sumption Feedback System
+ CHI 2013-Thomas Erickson/ 맹욱재x 2013 fall
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The Dubuque Electricity Portal:Evaluation of a City-Scale Resi-dential Electricity Consumption Feedback System
2013.10.16Wookjae Maeng
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Why this paper?
• ICT policy project• Curious about the way of evaluation
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Dubuque?
http://www.popsci.com/science/article/2011-11/data-transforming-dubuque-and-it-will-transform-your-city-too
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Author
Thomas Ericksoninteraction designer and re-searcherSocial Computing Group at IBM's Watson Labshttp://researcher.watson.ibm.com/researcher/view.php?person=us-snowfall
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Abstract
Dubuque Electricity Portalfor volunteering reductionLog, Survey, interview20weeks pilot, 765 household3.7% reductionUnderstanding of usage↑
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Problem
• Energy consumption is critical global issue
• In developed, developing countries• Side effect : CO2 emission, ecology dam-
age
• Among U.S’s Electricity consumption 37% from home
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Previous Work
Sustainability
EnvironmentalPsychologyHCI
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Previous Work 2
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)
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System
• The Sitestrong sustainability agenda citysmart electricity meters are deployed
• The Systemevery 15min transmit data to gatewayData was stored and uploaded in cloudanalyzed, fed back to web portalnot track individual devicebut high, medium, low load device
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Solution
Figure 2 on this paper
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Pilot project
• 765 neighborhood – 20 weeks• First log in – fill in profile for cus-
tomizingsize of household, type of device
• Survey, interview for UX qualitative data
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Survey
• Survey – 32 questions, 10minmultiple choice, Likert scale, open-ended
1. Why?2. How often?
If answer > 1go next question
elsego final question
3. Portal UI – value, degree(cue for picture)4. Effects on understanding and use5. Physical or Behavior Change• Distributed by email when the pilot ended
22% answer (116/561)
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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)
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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
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Interview 2
• Semi-structured• Informant’s background and household• Same with survey• Discussing their experience with oth-
ers?• How the portal could be improved?
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Result - Survey
• 35% use > 1 from log(= water portal)opt-in energy conservation program < 10%
• Reasonsover 90%1. interest in reducing electricity costs2. belief in the importance of sustainability of city3. Concern about the environment4. 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
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Result 2 - Survey
• Barriers51% no difficultiesproblem with ID or password : 42%difficulty in finding the site : 12%can’t see their data : 4%
• Complexity of initial password from privacy is-sue( mixed number and upper, lower case)
• Forgetting password : 27%no time : 26%integrating into ordinary life is hardtoo difficult (5%), too complicated(4%)
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Result 3 - Survey
• Degree of uselog in > 5 / week : 12%1 / week : 18%occasional : 31%rare : 25%don’t recall : 14%
• Baseline consumption checkerfrequently at first(30%), regularly(20%)
30%
30%
40%
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Result
Figure 3 on this paper
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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.
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Result 5 - Interview
• Incentivesmany : comparing with themselvesothers : comparing with similar neighborfixed itselfNo points from direction
• Contextaverage temperature, degree of heating/cooling daysvacation or not
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Result – Impact of portal useExceptional Participants266 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 behav-ior - non peak period(51%) - less use of light(33%) - short shower, dishwasher cycle(32%)
table 1 on this paper
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Discussion
• Limitation1. Not random samples – smart electricity meter
particular social economic characteristic- single family, blue or white color jobs, retired
- internet literate2. Volunteers
- highly motivated- already taken many actions to conserve
3. Over-represent of participant from survey, interview
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Discussion 2
• Accessibilitydifficulty with ID and passwordcomplexitycan estimate waking up, sleeping, vaca-tionunfavorable comparison=> biometrics to single sign on
• Engagementcollective attention from campaign
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Discussion
• Manner of usetime-based visualization – historic feedbackmultiple feedback optionschat failure – face to face conversation, not privacy=> larger set will be solved=> linking to local discussion
• Credibilitybig spike – system errorbut refrigerator defrost cycle, dehumidheaterelectricity consumption is invisible=> list of possible explanationalert should be informative
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Contribution
• HCI 에서 sustainability design approach a lotfew field study, identifying gap be-tween real and theory
• thorough evaluation - 20 weeks,765 household, log, survey, 18 interview
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Generalizing to Me
• ECF? -> Electricity Consumption Feed-back!
• HVAC? -> Heating Ventilating Air Condi-tioning
• Environmental Psychology• Good reference for public data visualiza-
tion• Insight from limitation and result• Curious about implementing in Korea
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Sharing
• What is the bad points of this paper?• How do you think about implement-
ing in Korea, further issues?• Any idea about improving chat, in-
teraction with other users?