2018
DOI: 10.1145/3196829
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Personal Informatics for Sport

Abstract: Technological advances in wearable computing are changing the sports domain. A variety of Personal Informatics (PI) tools are starting to provide support and improve athletes' performance in many sports. In this paper, we interviewed 20 amateur and elite athletes of different disciplines, using an array of PI devices, to explore how sports, as well as athletes' experience, are affected by such instruments. We discovered that amateur athletes present different patterns of usage compared to elite ones. Moreover,… Show more

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Cited by 54 publications
(24 citation statements)
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“…The question of how information literate trackers are (how good their critical understanding of the information they are using is) thus becomes central to effective and safe tracking. This is one of the first papers to bring this perspective on tracking explicitly to the fore and complements research that has examined self-tracking from a Human-computer interaction perspective [12,62,63], a health behavior change perspective, [3] and a sociological perspective [13].…”
Section: Discussionmentioning
confidence: 86%
See 3 more Smart Citations
“…The question of how information literate trackers are (how good their critical understanding of the information they are using is) thus becomes central to effective and safe tracking. This is one of the first papers to bring this perspective on tracking explicitly to the fore and complements research that has examined self-tracking from a Human-computer interaction perspective [12,62,63], a health behavior change perspective, [3] and a sociological perspective [13].…”
Section: Discussionmentioning
confidence: 86%
“…Smartphone penetration is high, with 83% of people in the United Kingdom owning one [5] and 25% of smartphone app users regularly using a health or fitness app [6]. The act of tracking has been shown to be beneficial in terms of increasing desired behaviors in the health arena [7,8], and research has focused on the value of apps and technologies to support health goals in a variety of contexts (eg, menstrual tracking [9], management of migraines [10], diet and exercise [11,12] and chronic disease [13,14]).…”
Section: Introductionmentioning
confidence: 99%
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“…Unlike the traditional persuasive [2] and reflective [3] behavior change technologies, if the Self-Interface signal is intuitively interpreted, it can eliminate the need for the user to actively engage with the intervention. Additionally, providing the biofeedback in real-time and in the wild can eliminate the need for external interpretation of the user data; an issue that has been addressed through research in personal informatics [7,9,10].…”
Section: Introductionmentioning
confidence: 99%