Sensemaking Challenges in Personal Informatics and Self-Monitoring Systems

Simon Jones, Ryan Kelly

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

88 Downloads (Pure)

Abstract

Personal informatics (PI) systems, which aggregate and analyse personal data from activity tracking devices and lifelogging services, have been shown to provide benefits in health and wellbeing settings. In this workshop paper we report a preliminary analysis of interviews with users of a personal informatics system and discuss the challenges that these users encounter in making sense of their data. We identify four challenges that may have implications for the use of PI systems in a health context, which we propose to discuss at the WISH workshop with other researchers who have considered self-monitoring from health and sensemaking perspectives.
Original languageEnglish
Title of host publication WISH 2016 Workshop on Interactive Systems in Healthcare
Place of PublicationACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016)
PublisherAssociation for Computing Machinery
Publication statusPublished - 7 May 2016
EventACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016) - California, San Jose, USA United States
Duration: 7 May 201612 May 2016

Conference

ConferenceACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016)
CountryUSA United States
CitySan Jose
Period7/05/1612/05/16

Fingerprint Dive into the research topics of 'Sensemaking Challenges in Personal Informatics and Self-Monitoring Systems'. Together they form a unique fingerprint.

Cite this