Information Flows for Athletes' Health and Performance Data
Fuente:
arXiv
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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866912221172334592 |
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| author | Stenger, Brad Feng, Yuanyuan |
| author_facet | Stenger, Brad Feng, Yuanyuan |
| contents | Increasing numbers of athletes and sports teams use data collection technologies to improve athletic development and athlete health with the goal of improving competitive performance. Personal data privacy is managed but it is not always a priority for the coaches who are in charge of athletes. There is a pressing need to investigate what are appropriate information flows as described by contextual integrity for these data technologies and these use cases. We propose two main types of information flows for athletes' health and performance data -- team-centric and athlete-centric -- designed to characterize data used for the collective and individual physical, psychological and social development of athletes. We also present a scenario for applying differential privacy to athletes' data and propose two new information flows -- research-centric and community-centric -- which envision larger-scale, more collaborative sharing of athletes' data in the future. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_05055 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Information Flows for Athletes' Health and Performance Data Stenger, Brad Feng, Yuanyuan Human-Computer Interaction H.5; J.3; K.5 Increasing numbers of athletes and sports teams use data collection technologies to improve athletic development and athlete health with the goal of improving competitive performance. Personal data privacy is managed but it is not always a priority for the coaches who are in charge of athletes. There is a pressing need to investigate what are appropriate information flows as described by contextual integrity for these data technologies and these use cases. We propose two main types of information flows for athletes' health and performance data -- team-centric and athlete-centric -- designed to characterize data used for the collective and individual physical, psychological and social development of athletes. We also present a scenario for applying differential privacy to athletes' data and propose two new information flows -- research-centric and community-centric -- which envision larger-scale, more collaborative sharing of athletes' data in the future. |
| title | Information Flows for Athletes' Health and Performance Data |
| topic | Human-Computer Interaction H.5; J.3; K.5 |
| url | https://arxiv.org/abs/2412.05055 |