Visualization-assisted Insights into Home Energy Usage
| dc.contributor.author | Law, Matthew | en_US |
| dc.contributor.author | Rollins, Sami | en_US |
| dc.contributor.author | Banerjee, Nilanjan | en_US |
| dc.contributor.author | Joshi, Alark | en_US |
| dc.contributor.editor | E. Bertini and J. Kennedy and E. Puppo | en_US |
| dc.date.accessioned | 2015-05-24T19:43:16Z | |
| dc.date.available | 2015-05-24T19:43:16Z | |
| dc.date.issued | 2015 | en_US |
| dc.description.abstract | Motivated 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.sectionheaders | Design and Applications | en_US |
| dc.description.seriesinformation | Eurographics Conference on Visualization (EuroVis) - Short Papers | en_US |
| dc.identifier.doi | 10.2312/eurovisshort.20151131 | en_US |
| dc.identifier.pages | 91-95 | en_US |
| dc.identifier.uri | https://doi.org/10.2312/eurovisshort.20151131 | en_US |
| dc.publisher | The Eurographics Association | en_US |
| dc.subject | H.1.2 [Information Systems] | en_US |
| dc.subject | User/Machine Systems | en_US |
| dc.subject | Human Information Processing | en_US |
| dc.title | Visualization-assisted Insights into Home Energy Usage | en_US |
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