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What do Teens Make of Personal Informatics?: Young People's Responses to Self-Tracking Practices for Self-Determined Motives

Potapov, K; Vasalou, A; Stanford, VL; Marshall, P; (2021) What do Teens Make of Personal Informatics?: Young People's Responses to Self-Tracking Practices for Self-Determined Motives. In: CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. Association for Computing Machinery (ACM): New York, NY, USA. Green open access

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Abstract

Personal informatics (PI) technologies allow users to collect data about aspects of their lifestyle like mood or step count. Though teens increasingly encounter and use such technologies, little is known about how they ascribe meaning to their own PI activities. We report a qualitative study of the PI experiences of eighteen teens (aged 14 – 17). Following a learning phase focused on interpreting PI data, participants chose a personal goal that interested them and a PI tool to track it for 4-8 weeks in everyday contexts. Participants proved to be competent, flexible users of PI tools, tracking a range of meaningful life factors, from ‘worries’ to ‘exercise’; they valued learning about ‘natural patterns’ in their lives and were motivated to manage their emotions and evaluate whether they were doing the right thing. Our findings contribute to understanding how young people can engage in appropriation and interpretation of PI data – suggesting opportunities for educational interventions and design.

Type: Proceedings paper
Title: What do Teens Make of Personal Informatics?: Young People's Responses to Self-Tracking Practices for Self-Determined Motives
Event: 2021 CHI Conference on Human Factors in Computing Systems (CHI '21)
ISBN-13: 9781450380966
Open access status: An open access version is available from UCL Discovery
DOI: 10.1145/3411764.3445239
Publisher version: https://doi.org/10.1145/3411764.3445239
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10138756
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