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Snot, Sweat, Pain, Mud, and Snow: Performance and Experience in the Use of Sports Watches
Stockholm University, Faculty of Social Sciences, Department of Computer and Systems Sciences.
SICS, , .
2015 (English)In: CHI '15, 33rd Annual ACM Conference on Human Factors in Computing Systems, ACM Press , 2015Conference paper (Refereed)Text
Abstract [sv]

We have conducted interviews with ten elite and recreational athletes to understand their experiences and engagement with endurance sport and personal and wearable sports technology. The athletes emphasized the experiential aspects of doing sports and the notion of feeling was repeatedly used to talk about their activities. Technology played both an instrumental role in measuring performance and feeding bio-data back to them, and an experiential role in supporting and enhancing the sport experience. To guide further interaction design research in the sports domain, we suggest two interrelated ways of looking at sports performances and experiences, firstly through the notion of a measured sense of performance, and secondly as a lived-sense of performance.

Abstract [en]

We have conducted interviews with ten elite and recreational athletes to understand their experiences and engagement with endurance sport and personal and wearable sports technology. The athletes emphasized the experiential aspects of doing sports and the notion of feeling was repeatedly used to talk about their activities. Technology played both an instrumental role in measuring performance and feeding bio-data back to them, and an experiential role in supporting and enhancing the sport experience. To guide further interaction design research in the sports domain, we suggest two interrelated ways of looking at sports performances and experiences, firstly through the notion of a measured sense of performance, and secondly as a lived-sense of performance.

Place, publisher, year, edition, pages
ACM Press , 2015.
Keyword [en]
accelerometer data, interviews, sports, Movement, design, feeling, interaction, sensors
National Category
Information Systems
Research subject
Man-Machine-Interaction (MMI)
Identifiers
URN: urn:nbn:se:su:diva-123970DOI: 10.1145/2702123.2702482ISBN: 978-1-4503-3145-6OAI: oai:DiVA.org:su-123970DiVA: diva2:878614
Available from: 2015-12-09 Created: 2015-12-09

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