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.
|Title of host publication||WISH 2016 Workshop on Interactive Systems in Healthcare|
|Place of Publication||ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016)|
|Publisher||Association for Computing Machinery|
|Publication status||Published - 7 May 2016|
|Event||ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016) - California, San Jose, USA United States|
Duration: 7 May 2016 → 12 May 2016
|Conference||ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016)|
|Country||USA United States|
|Period||7/05/16 → 12/05/16|
Jones, S., & Kelly, R. (2016). Sensemaking Challenges in Personal Informatics and Self-Monitoring Systems. In WISH 2016 Workshop on Interactive Systems in Healthcare ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2016): Association for Computing Machinery.