Visualization-assisted Insights into Home Energy Usage

dc.contributor.authorLaw, Matthewen_US
dc.contributor.authorRollins, Samien_US
dc.contributor.authorBanerjee, Nilanjanen_US
dc.contributor.authorJoshi, Alarken_US
dc.contributor.editorE. Bertini and J. Kennedy and E. Puppoen_US
dc.date.accessioned2015-05-24T19:43:16Z
dc.date.available2015-05-24T19:43:16Z
dc.date.issued2015en_US
dc.description.abstractMotivated by both cost savings and environmental concerns, managing energy in the home has become increasingly important. Though both user-driven and automated solutions have shown promise, a deeper understanding of the characteristics of energy usage behavior is necessary to inform the design of such systems. In this work, we present the results of a study that explores the insights and characteristics participants are able to derive using two well-known visualization techniques for time series data. We find that participants are able to extract a variety of relevant features and explain general and anomalous patterns of behavior. We also find that the preferred visualization is both user- and task-dependent. These findings may be used as the basis for new systems for home energy management.en_US
dc.description.sectionheadersDesign and Applicationsen_US
dc.description.seriesinformationEurographics Conference on Visualization (EuroVis) - Short Papersen_US
dc.identifier.doi10.2312/eurovisshort.20151131en_US
dc.identifier.pages91-95en_US
dc.identifier.urihttps://doi.org/10.2312/eurovisshort.20151131en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectH.1.2 [Information Systems]en_US
dc.subjectUser/Machine Systemsen_US
dc.subjectHuman Information Processingen_US
dc.titleVisualization-assisted Insights into Home Energy Usageen_US
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