Projects per year
Abstract
Home energy management systems (HEMS) offer control and the ability to manage energy, generating and collecting energy consumption data at the most detailed level. However, data at this level poses various privacy concerns, including, for instance, profiling consumer behaviors and large-scale surveillance. The question of how utility providers can get value from such data without infringing consumers' privacy has remained under-investigated. We address this gap by exploring the pro-sharing attitudes and privacy perceptions of 30 HEMS users and non-users through an interview study. While participants are concerned about data misuse and stigmatization, our analysis also reveals that incentives, altruism, trust, security and privacy, transparency and accountability encourage data sharing. From this analysis, we derive privacy design strategies for HEMS that can both improve privacy and engender adoption.
Original language | English |
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Title of host publication | CHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems |
Subtitle of host publication | CHI Conference on Human Factors in Computing Systems |
Publisher | Association for Computing Machinery (ACM) |
Pages | 1-15 |
ISBN (Electronic) | 9781450391573 |
DOIs | |
Publication status | E-pub ahead of print - 29 Apr 2022 |
Event | ACM CHI Conference on Human Factors in Computing Systems - New Orleans, United States Duration: 30 Apr 2022 → 5 May 2022 https://chi2022.acm.org/ |
Publication series
Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
Conference | ACM CHI Conference on Human Factors in Computing Systems |
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Abbreviated title | ACM CHI 2022 |
Country/Territory | United States |
City | New Orleans |
Period | 30/04/22 → 5/05/22 |
Internet address |
Bibliographical note
Funding Information:This research is funded by the UK EPSRC Refactoring Energy Systems (EP/R007373/1), Household Supplier Energy Market (EP/P031838/1) and EnergyREV (EP/S031863/1) projects.
Publisher Copyright:
© 2022 ACM.
Research Groups and Themes
- Bristol Interaction Group
Keywords
- Energy Data
- Smart Home Energy Systems
- User Perceptions
- User Privacy
- Smart home
- Security
- Data Privacy
Fingerprint
Dive into the research topics of 'Privacy Design Strategies for Home Energy Management Systems (HEMS)'. Together they form a unique fingerprint.Projects
- 2 Finished
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EnergyREV
Bird, C. M. (Researcher) & Chitchyan, R. (Co-Investigator)
1/12/18 → 31/03/23
Project: Research
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Refactoring Energy Systems (Ruzanna Chitchyan)
Chitchyan, R. (Principal Investigator)
1/10/17 → 30/09/22
Project: Research