Privacy Design Strategies for Home Energy Management Systems (HEMS)

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

9 Citations (Scopus)
330 Downloads (Pure)

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 languageEnglish
Title of host publicationCHI 2022 - Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems
Subtitle of host publicationCHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery (ACM)
Pages1-15
ISBN (Electronic)9781450391573
DOIs
Publication statusE-pub ahead of print - 29 Apr 2022
EventACM CHI Conference on Human Factors in Computing Systems - New Orleans, United States
Duration: 30 Apr 20225 May 2022
https://chi2022.acm.org/

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleACM CHI 2022
Country/TerritoryUnited States
CityNew Orleans
Period30/04/225/05/22
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

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