A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Affordances of Sleep-Tracking: Insights from Smart Ring Users
Tekijät: Feng Shan, Mäntymäki Matti, Salmela Hannu
Toimittaja: Savvas Papagiannidis, Eleftherios Alamanos, Suraksha Gupta, Yogesh K. Dwivedi, Matti Mäntymäki, Ilias O. Pappas
Konferenssin vakiintunut nimi: Conference on e-Business, e-Services and e-Society
Kustantaja: Springer Science and Business Media Deutschland GmbH
Kustannuspaikka: Cham
Julkaisuvuosi: 2022
Journal: Lecture Notes in Computer Science
Kokoomateoksen nimi: The Role of Digital Technologies in Shaping the Post-Pandemic World: 21st IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2022, Newcastle upon Tyne, UK, September 13–14, 2022, Proceedings
Tietokannassa oleva lehden nimi: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Sarjan nimi: Lecture Notes in Computer Science
Vuosikerta: 13454
Aloitussivu: 343
Lopetussivu: 355
ISBN: 978-3-031-15341-9
eISBN: 978-3-031-15342-6
ISSN: 0302-9743
DOI: https://doi.org/10.1007/978-3-031-15342-6_27
Verkko-osoite: https://link.springer.com/chapter/10.1007/978-3-031-15342-6_27
This study explores the usage and the respective affordances of sleep-tracking with a smart ring and the associated app. Sleep-tracking is a growing area of self-tracking. While the use and influences of self-tracking have drawn considerable scholarly attention, the specific affordances of sleep-tracking are not well understood. Hence, this study aims to explore what affordances can be attributed to using a sleep-tracking device and the correspondence between affordances and features. We used the Gioia method to analyze and theorize on interview data from 14 Oura ring users. We identified four affordances of sleep-tracking executed through a smart ring, namely, dynamic goal setting, self-quantification, learning, and nudging. Drawing on the affordances, we further corresponded affordances with device features. The findings extend the body of knowledge on the affordances of self-tracking.
