| Literature DB >> 33584017 |
Abstract
Fitness apps on mobile devices are gaining popularity, as more people are engaging in self-tracking activities to record their status of fitness and exercise routines. These technologies also evolved from simply recording steps and offering exercise suggestions to an integrated lifestyle guide for physical wellbeing, thus exemplify a new era of "quantified self" in the context of health as individual responsibility. There is a considerable amount of literature in science, technology and society (STS) studies looking at this phenomenon from different perspectives, linking it with the sociology of self-surveillance and neoliberal regimes of health. However, the human-technology interface, through which the micro- (behavioral) and macro- (social) aspects converge, still calls for extensive examination. This paper approaches this topic from the postphenomenological perspective, in combination with empirical studies of design analysis and interviews of fitness apps, to reveal the human-technology link between the design elements and people's perception through the direct experiences and interpretations of technology. It argues that the intentionality of self-tracking fitness app designs mediates the human-technology relations by "guiding" people into a quantified knowledge regime. It shapes the perceptions of fitness and health with representations of meanings about a "good life" of individual success and management. This paper also gives a critique of current individual, performance-oriented fitness app designs and offers the possibility of seeking alternatives through the multistable nature of human-technology relations-how altering interpretation and meaning of the design with a cultural or social context could change the form of technological embodiment.Entities:
Keywords: Fitness apps; Postphenomenology; Self-tracking
Year: 2021 PMID: 33584017 PMCID: PMC7868075 DOI: 10.1007/s00146-021-01146-8
Source DB: PubMed Journal: AI Soc ISSN: 0951-5666
Fig. 1Diagrams of fitness achievement. The left shows the daily/weekly/monthly summary of exercising time. It shows that the user (the author) has done 36 min of exercise in two routines on this particular day, burning 110 cal. In the middle, it shows "My Data," with a myriad of different types of exercise (Starting from the left blue box counterclockwise): total time, fitness routines, Yoga, walking, running, cycling. On the right, it continues with a weekly chart—if you have exercised, a circle will be filled, followed by the walk steps (the green box, where the number is 0), fitness score (the purple box, linked to Fig. 1 if the user clicks on it) and bodily metrics (here shows body weight, BMI and height)
Fig. 2Exercise plan. The left shows the "personalized plan" in a week's span and one routine for the day. For any routine, it shows an introduction, equipment, and how popular it is among users. The time and calories are the core elements, while there's a description of the "purpose" of this workout routine. However, terminologies are there; users do not have to understand them, and some are confusing due to bad translation. The right is how the training plan looks like in the Chinese version. The day-to-day routines are at the bottom, while the overall length (5 weeks, four days per week, 27 min per day) and goals, running and intensity are briefly displayed. The diagram shows how this plan enhances specific parts/capacity of the body (upper limb, lower limb, whole body, core, and cardiovascular)