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AuthorAl-Kababji, Ayman
AuthorAlsalemi, Abdullah
AuthorHimeur, Yassine
AuthorFernandez, Rachael
AuthorBensaali, Faycal
AuthorAmira, Abbes
AuthorFetais, Noora
Available date2022-12-29T07:34:43Z
Publication Date2022
Publication NameJournal of Cleaner Production
ResourceScopus
URIhttp://dx.doi.org/10.1016/j.jclepro.2022.132841
URIhttp://hdl.handle.net/10576/37817
AbstractInteractive data visualization tools for residential energy data are instrumental indicators for analyzing end user behavior. These visualizations can be used as continuous home feedback systems and can be accessed from mobile devices using touch-based applications. Visualizations have to be carefully selected in order for them to partake in the behavioral transformation that end users are encouraged to adopt. In this paper, six energy data visualizations are evaluated in a randomized controlled trial fashion to determine the optimal data visualization tool. Conventional visualizations, namely bar, line, and stacked area, are compared against enhanced charts, namely spiral, heatmap, and stacked bar, in terms of effectiveness, aesthetic, understandability, and three analysis questions. The study is conducted through a questionnaire in a mobile application. The application, created through React Native, is circulated to participants in multiple countries, collecting 133 responses. From the received responses, conventional plots scored higher understandability (by 22.74%), effectiveness (by 13.44%), and aesthetic (by 10.54%) when compared with the enhanced visualizations. On the flipside, enhanced plots generated higher correct analysis questions' responses by 8% compared to the conventional counterparts. From the 133 collected responses, and after applying the unpaired t-test, conventional energy data visualization plots are considered superior in terms of understandability, effectiveness, and aesthetic. 2022 The Author(s)
SponsorThis paper is made possible by National Priorities Research Program, Qatar (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors. Open Access funding provided by the Qatar National Library.
Languageen
PublisherElsevier
SubjectData and knowledge visualization
Energy efficiency
Energy-aware systems
Evaluation studies
Mobile applications
Visualizations comparison
TitleInteractive visual study for residential energy consumption data
TypeArticle
Volume Number366
dc.accessType Open Access


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