“我喜欢跑步来感受”:体现和可穿戴移动跟踪设备在长跑中的应用

IF 8 2区 医学 Q1 HOSPITALITY, LEISURE, SPORT & TOURISM Qualitative Research in Sport Exercise and Health Pub Date : 2023-06-29 DOI:10.1080/2159676X.2023.2225516
J. Toner, Jacquelyn Allen-Collinson, P. Jackman, Luke Jones, Joe Addrison
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引用次数: 0

摘要

许多有经验的跑步者认为使用可穿戴设备是训练过程中的重要组成部分。可穿戴设备的一个关键技术乌托邦承诺在于使用专有算法实时识别训练负荷错误,并提醒用户注意与跑步相关的伤害风险。据称,这种实时的“了解”可以通过告诉跑步者他们如何偏离了理想的或最佳的训练负荷或强度,从而消除运动员主观判断的需要。然而,这种现实主义的观点与社会学研究相悖,社会学研究表明,可穿戴设备的用户会积极参与高度情境化的“数据意义构建”。为了调查运动员如何使用(或不使用)算法分析来实时理解、理解和提高他们的表现,我们对长跑运动员进行了定性访谈,以探索使用可穿戴设备跑步的生活体验。跑步者描述了他们如何积极地解释来自可穿戴设备的数据,利用他们自己的经验、“躯体知识”和具体的认知方式。这使他们能够评估与自己的目标、意图和感受相关的数据的相关性和有用性。我们的发现挑战了实时和预测分析的技术乌托邦承诺。
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‘I like to run to feel’: embodiment and wearable mobile tracking devices in distance running
ABSTRACT Many experienced runners consider the use of wearable devices an important element of the training process. A key techno-utopic promise of wearables lies in the use of proprietary algorithms to identify training load errors in real-time and alert users to risks of running-related injuries. Such real-time ‘knowing’ is claimed to obviate the need for athletes’ subjective judgements by telling runners how they have deviated from a desired or optimal training load or intensity. This realist-contoured perspective is, however, at odds with sociological research indicating that users of wearables engage in active ‘data sense-making’ that is highly contextualised. To investigate how athletes use (or not) algorithmic analysis to understand, make sense of, and improve their performance in real-time, we undertook qualitative interviews with distance runners to explore lived experiences of running with wearables. The runners described how they actively interpreted data from wearables, drawing on their own experience, ‘somatic knowledge’, and embodied ways of knowing. This allowed them to assess the relevance and usefulness of data in relation to their own goals, intentions, and feelings. Our findings challenge the techno-utopic promises of real-time and predictive analytics.
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来源期刊
CiteScore
10.60
自引率
10.20%
发文量
36
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