Deriving age diverse personas from a participatory design study on home electricity feedback

Jonathan Dodge, Michael Hilton, Ronald A. Metoyer, Josie Hunter, Karl Smeltzer, Catharina Vijay, Andrew Atkinson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Eco-feedback technology is generally concerned with the communication of information to affect individual or group behavior with respect to environmental impact. Electricity consumption feedback, in particular, has been studied from various viewpoints to understand its effects on consumption behavior and to explore the design space. Recent efforts have resulted in a wide array of device designs ranging from individual appliance feedback at the outlet to centralized devices for home consumption awareness. However, adoption rates for these technologies remain relatively poor, perhaps due to a lack of emphasis on specific user needs. In this paper, we contribute a participatory design study to examine differences and similarities among three targeted household demographics: older adults, families with children, and students in shared housing. In addition, we present our process for extracting personas from participatory design study data, alongside the set of resulting persona skeletons and one finished persona.

Original languageEnglish (US)
Title of host publicationCHI 2017 Extended Abstracts - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
PublisherAssociation for Computing Machinery
Pages959-968
Number of pages10
ISBN (Electronic)9781450346566
DOIs
StatePublished - May 6 2017
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017 - Denver, United States
Duration: May 6 2017May 11 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
VolumePart F127655

Other

Other2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA 2017
Country/TerritoryUnited States
CityDenver
Period5/6/175/11/17

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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