Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness
By Thomas Fritz, Elaine May Huang, Gail C. Murphy, Thomas Zimmermann. International Conference on Human Factors in Computing Systems, 2014
452 citations recorded by the source corpus.
Persuasive technology to motivate healthy behavior is a growing area of research within HCI and ubiquitous computing. The emergence of commercial wearable devices for tracking health- and fitness-related activities arguably represents the first widespread adoption of dedicated ubiquitous persuasive technology. The recent ubiquity of commercial systems allows us to learn about their value and use in truly "in the wild" contexts and understand how practices evolve over long-term, naturalistic use. We present a study with 30 participants who had adopted wearable activity-tracking devices of their own volition and had continued to use them for between 3 and 54 months. The findings, which both support and contrast with those of previous research, paint a picture of the evolving benefits and practices surrounding these emerging technologies over long periods of use. They also serve as the basis for design implications for personal informatics technologies for long-term health and fitness support.
Subfields: Electrical and Electronic Engineering, General Health Professions, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/39987bf430251a9f3377c1202172d736b8757ed9
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In General Health Professions
In Human-Computer Interaction
Citations in the corpus
- Review on Wearable Technology Sensors Used in Consumer Sport Applications (2019, background): “This measurement can give an idea of how much energy is being felt on the inside of the dampening material (inner foam pads).”
- Persuasive technology for health and wellness: State-of-the-art and emerging trends (2018, unknown): “Behavior [4], [6], [7], [11], [12], [15], [17], [21]–[25], [27], [28], [32], [33], [35], [38], [41], [46], [48], [56], [58], [60], [62], [63], [65]–[67], [70]–[76], [79], [81], [83], [86], [88] 44% Attitude [5], [9], [10], [13], [17], [26], [30], [59], [65], [68], [76], [78], [84] 17% Motivation…”
- A lived informatics model of personal informatics (2015, background): “The pervasiveness of self-tracking tools has led researchers to study people’s use of commercial tools for tracking location [24,30], finances [20], food [11], weight [19,25], and physical activity [16,34] and to develop research prototypes to expand our understanding of usage [3,8,12,40].”
- Why we use and abandon smart devices (2015, background): “interviewed participants, all of whom were using activity trackers at the time of the interview [9].”