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Cited by 655

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Personal tracking as lived informatics

Open access
Rooksby, John, Rost, Mattias, Morrison, Alistair, Chalmers, Matthew·2014·Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Abstract

This paper characterises the use of activity trackers as "lived informatics". This characterisation is contrasted with other discussions of personal informatics and the quantified self. The paper reports an interview study with activity tracker users. The study found: people do not logically organise, but interweave various activity trackers, sometimes with ostensibly the same functionality; that tracking is often social and collaborative rather than personal; that there are different styles of tracking, including goal driven tracking and documentary tracking; and that tracking information is often used and interpreted with reference to daily or short term goals and decision making. We suggest there will be difficulties in personal informatics if we ignore the way that personal tracking is enmeshed with everyday life and people's outlook on their future.

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Crossref · 10.1145/2556288.2557039

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Metadata

Authors
Rooksby, J., Rost, M., Morrison, A., & Chalmers, M.
Venue
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Publisher
ACM
Published
2014-04-26
Pages
1163-1172
OpenAlex
W2091177731
Cited by
655
References
26
FWCI
46.54
Type
conference paper
Language
en
Open access
green

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CoChat. (2026). Citation check: Personal tracking as lived informatics. https://app.cochat.ai/papers/10.1145/2556288.2557039
The paper
Rooksby, J., Rost, M., Morrison, A., & Chalmers, M. (2014). Personal tracking as lived informatics. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/2556288.2557039

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.