Journal article
Mapping and Taking Stock of the Personal Informatics Literature
Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, Vol.4(4), pp.1-38
12/17/2020
DOI: 10.1145/3432231
Abstract
The research community on the study and design of systems for personal informatics has grown over the past decade. To take stock of what the topics the field has studied and methods the field has used, we map and label 523 publications from ACM's library, IEEE Xplore, and PubMed. We surface that the literature has focused on studying and designing for health and wellness domains, an emphasis on understanding and overcoming barriers to data collection and reflection, and progressively fewer contributions involving artifacts being made. Our mapping review suggests directions future research could explore, such as identifying and resolving barriers to tracking stages beyond collection and reflection, engaging more with domain experts, and further discussing the privacy and ethical concerns around tracked data.
Details
- Title: Subtitle
- Mapping and Taking Stock of the Personal Informatics Literature
- Creators
- Daniel A. Epstein - University of California, IrvineClara Caldeira - Indiana UniversityMayara Costa Figueiredo - University of California, IrvineXi Lu - University of California, IrvineLucas M. Silva - University of California, IrvineLucretia Williams - University of California, IrvineJong Ho Lee - University of California, IrvineQingyang Li - University of California, IrvineSimran Ahuja - University of California, IrvineQiuer Chen - University of California, IrvinePayam Dowlatyari - University of California, IrvineCraig Hilby - Univ Texas Dallas, Richardson, TX 75083 USASazeda Sultana - University of California, IrvineElizabeth Eikey - University of California, San DiegoYunan Chen - University of California, Irvine
- Resource Type
- Journal article
- Publication Details
- Proceedings of ACM on interactive, mobile, wearable and ubiquitous technologies, Vol.4(4), pp.1-38
- Publisher
- Assoc Computing Machinery
- DOI
- 10.1145/3432231
- ISSN
- 2474-9567
- eISSN
- 2474-9567
- Number of pages
- 38
- Grant note
- IIS-1850389 / National Science Foundation; National Science Foundation (NSF)
- Language
- English
- Date published
- 12/17/2020
- Academic Unit
- Computer Science
- Record Identifier
- 9984696715402771
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