Enhancing personal informatics through social sensemaking

Aare Puussaar, Adrian K. Clear, Peter Wright

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

56 Citations (Scopus)

Abstract

Personal informatics practices are increasingly common, with a range of consumer technologies available to support, largely individual, interactions with data (e.g., performance measurement and activity/health monitoring). In this paper, we explore the concept of social sensemaking. In contrast to high-level statistics, we posit that social networking and reciprocal sharing of fine-grained self-tracker data can provide valuable context for individuals in making sense of their data. We present the design of an online platform called Citizense Makers (CM), which facilitates group sharing, annotating and discussion of self-tracker data. In a field trial of CM, we explore design issues around willingness to share data reciprocally; the importance of familiarity between individuals; and understandings of common activities in contextualising one's own data.

Original languageEnglish
Title of host publicationCHI 2017 - Proceedings of the 2017 ACM SIGCHI Conference on Human Factors in Computing Systems
Subtitle of host publicationExplore, Innovate, Inspire
Publisher Association for Computing Machinery
Pages6936-6942
Number of pages7
ISBN (Electronic)9781450346559
DOIs
Publication statusPublished - 2 May 2017
Externally publishedYes
Event2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017 - Denver, United States
Duration: 6 May 201711 May 2017

Publication series

NameConference on Human Factors in Computing Systems - Proceedings
Volume2017-May

Conference

Conference2017 ACM SIGCHI Conference on Human Factors in Computing Systems, CHI 2017
Country/TerritoryUnited States
CityDenver
Period6/05/1711/05/17

Keywords

  • Data sharing
  • Personal informatics
  • Social sensemaking

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