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Design Implications for the Presentation of Eco-feedback DataDesign Implications for the Presentation of Eco-feedback Data

Other Titles
Design Implications for the Presentation of Eco-feedback Data
Authors
윤재영Azizan AzizBertrand Lasternas
Issue Date
2015
Publisher
한국디자인학회
Keywords
Eco-feeddback; Energy Display; Information Presentation; Interface Design
Citation
디자인학연구, v.28, no.4, pp.95 - 107
Journal Title
디자인학연구
Volume
28
Number
4
Start Page
95
End Page
107
URI
https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/10597
DOI
10.15187/adr.2015.11.28.4.95
ISSN
1226-8046
Abstract
Background Four decades of eco-feedback studies have produced promising energy conservation results. Up-to-date smart electricity meters allow eco-feedback strategies such as real-time monitoring with appliance-specific data, social comparison, multiple metrics (e.g., cost, CO2, trees), and personalized feedback. Unfortunately, eco-feedback presentation methods for such strategies have been under-studied. Methods We have investigated the design of energy chart components (i.e., chart type, time range, time intervals), and supportive eco-feedback information (i.e., metrics, personalized advice). Each component was evaluated by measuring the performance of thirty-five participants (e.g., response time and correctness) and their preferences (e.g., understandability and attractiveness). Result Whereas most of the energy-monitoring applications show the current day’s energy usage information, it is found that users preferred to see the current week’s energy usage with hourly intervals because this better reveals opportunities for saving energy. Users also preferred a stacked area chart over a stacked bar chart to view the disaggregated individual’s data, and a line chart over a bar chart for social comparison data. The environmental metrics (i.e., CO2 and tree) confused the users, but cost ($) and KWh were preferred. Conclusions This study investigates the eco-feedback presentation methods based on survey measures. The next step in this research is to quantify the amount of energy saved using these methods.
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