Affordances of Sleep-Tracking: Insights from Smart Ring Users - UTU Research Portal

A4 Refereed article in a conference publication

Affordances of Sleep-Tracking: Insights from Smart Ring Users

Authors: Feng Shan, Mäntymäki Matti, Salmela Hannu

Editors: Savvas Papagiannidis, Eleftherios Alamanos, Suraksha Gupta, Yogesh K. Dwivedi, Matti Mäntymäki, Ilias O. Pappas

Conference name: Conference on e-Business, e-Services and e-Society

Publisher: Springer Science and Business Media Deutschland GmbH

Publishing place: Cham

Publication year: 2022

Journal: Lecture Notes in Computer Science

Book title : 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

Journal name in source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Series title: Lecture Notes in Computer Science

Volume: 13454

First page : 343

Last page: 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

Web address : https://link.springer.com/chapter/10.1007/978-3-031-15342-6_27

Abstract

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.