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1 Ergebnisse
1
Self-Tracking to Do Less : An Autoethnography of Long CO..:
, In:
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
,
Homewood, Sarah
- p. 1-14 , 2023
Link:
https://dl.acm.org/doi/10.1145/3544548.3581505
RT T1
Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
: T1
Self-Tracking to Do Less : An Autoethnography of Long COVID That Informs the Design of Pacing Technologies
UL https://suche.suub.uni-bremen.de/peid=acm-3581505&Exemplar=1&LAN=DE A1 Homewood, Sarah PB ACM YR 2023 K1 COVID 19 K1 Fitbit K1 Heart-rate monitor K1 Long COVID K1 Phenomenology K1 Post COVID-19 syndrome K1 Self-Tracking K1 Step counting K1 autoethnography K1 fitness tracking technologies K1 pacing technologies K1 Human-centered computing K1 Interaction design K1 Interaction design theory, concepts and paradigms SP 1 OP 14 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3544548.3581505 DO https://dl.acm.org/doi/10.1145/3544548.3581505 SF ELIB - SuUB Bremen
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