Visualization-assisted Insights into Home Energy Usage
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 su...
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The Eurographics Association
2015
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ftdatacite:10.2312/eurovisshort.20151131 2023-05-15T18:12:15+02:00 Visualization-assisted Insights into Home Energy Usage Law, Matthew Rollins, Sami Banerjee, Nilanjan Joshi, Alark 2015 https://dx.doi.org/10.2312/eurovisshort.20151131 https://diglib.eg.org/handle/10.2312/eurovisshort.20151131.091-095 unknown The Eurographics Association http://diglib.eg.org/bitstream/handle/10.2312/eurovisshort.20151131.091-095/091-095.pdf H.1.2 [Information Systems] User/Machine Systems Human Information Processing CreativeWork article 2015 ftdatacite https://doi.org/10.2312/eurovisshort.20151131 2021-11-05T12:55:41Z 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. : Eurographics Conference on Visualization (EuroVis) - Short Papers : Design and Applications : 91 : 95 : Matthew Law, Sami Rollins, Nilanjan Banerjee, and Alark Joshi : Categories and Subject Descriptors (according to ACM CCS): H.1.2 [Information Systems]: User/Machine Systems-Human Information Processing Article in Journal/Newspaper sami DataCite Metadata Store (German National Library of Science and Technology) |
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H.1.2 [Information Systems] User/Machine Systems Human Information Processing |
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H.1.2 [Information Systems] User/Machine Systems Human Information Processing Law, Matthew Rollins, Sami Banerjee, Nilanjan Joshi, Alark Visualization-assisted Insights into Home Energy Usage |
topic_facet |
H.1.2 [Information Systems] User/Machine Systems Human Information Processing |
description |
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. : Eurographics Conference on Visualization (EuroVis) - Short Papers : Design and Applications : 91 : 95 : Matthew Law, Sami Rollins, Nilanjan Banerjee, and Alark Joshi : Categories and Subject Descriptors (according to ACM CCS): H.1.2 [Information Systems]: User/Machine Systems-Human Information Processing |
format |
Article in Journal/Newspaper |
author |
Law, Matthew Rollins, Sami Banerjee, Nilanjan Joshi, Alark |
author_facet |
Law, Matthew Rollins, Sami Banerjee, Nilanjan Joshi, Alark |
author_sort |
Law, Matthew |
title |
Visualization-assisted Insights into Home Energy Usage |
title_short |
Visualization-assisted Insights into Home Energy Usage |
title_full |
Visualization-assisted Insights into Home Energy Usage |
title_fullStr |
Visualization-assisted Insights into Home Energy Usage |
title_full_unstemmed |
Visualization-assisted Insights into Home Energy Usage |
title_sort |
visualization-assisted insights into home energy usage |
publisher |
The Eurographics Association |
publishDate |
2015 |
url |
https://dx.doi.org/10.2312/eurovisshort.20151131 https://diglib.eg.org/handle/10.2312/eurovisshort.20151131.091-095 |
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sami |
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sami |
op_relation |
http://diglib.eg.org/bitstream/handle/10.2312/eurovisshort.20151131.091-095/091-095.pdf |
op_doi |
https://doi.org/10.2312/eurovisshort.20151131 |
_version_ |
1766184795692335104 |