Digital innovation i sport

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Barker-Ruchti, N., Svensson, R., Svensson, D., & Fransson, D. (2021). Don’t buy a pig in a poke: Considering challenges of and problems with performance analysis technologies in Swedish men’s elite football. Performance Enhancement & Health, 100191.

Brewer, et al. (2025). Coach, data analyst, and protector: Exploring data practices of collegiate coaching staff. In 2025 CHI Conference on Human Factors in Computing Systems. ACM. https://doi.org/10.1145/3706598.3714026

Childs, et al. (2025). Mapping the flow of information from continuous wearables: Insights from elite collegiate athletes in the United States. In 2025 Conference on SportsHCI 2025. ACM. https://doi.org/10.1145/3749385.3749387

Exel, J., & Dabnichki, P. (2024). Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization? Applied Sciences, 14(8).

Gilgen-Ammann, R., Schweizer, T., & Wyss, T. (2020). Accuracy of Distance Recordings in Eight Positioning-Enabled Sport Watches—Instrument Validation Study. JMIR mHealth and uHealth, 8(6), e17118.

Goebeler, L., Standaert, W., & Xiao, X. (2021). Hybrid sport configurations: The intertwining of the physical and the digital. In Proceedings of the 54th Hawaii International Conference on System Sciences.

Kostenius, E., Krantz, A., Starke, J., & Landgren, J. (2025, November). VR Running: The experience of immersive virtual reality in running. In Proceedings of the First Annual Conference on Human-Computer Interaction and Sports (pp. 1-10).

Krugly, S., & Tucker, J. (2024). Digital fist bumps: Searching for datafication and digitalisation in everyday CrossFit coaching practice. Frontiers in Sports and Active Living, 6, 1411176.

Maiden, N., Lockerbie, J., Zachos, K., Wolf, A., & Brown, A. (2023). Designing new digital tools to augment human creative thinking at work: An application in elite sports coaching. Expert Systems, 40(3), e13194.

Malone, J. J., Lovell, R., Varley, M. C., & Coutts, A. J. (2017). Unpacking the black box: Applications and considerations for using GPS devices in sport. International Journal of Sports Physiology and Performance, 12(s2), S2-18.

Nicholls, S. B., James, N., Bryant, E., & Wells, J. (2019). The implementation of performance analysis and feedback within Olympic sport—The performance analyst's perspective. International Journal of Sports Science & Coaching, 14(1).

Postma, et al. (2024). From metrics to experiences: Investigating how sport data shapes the social context, self-determination and motivation of athletes. Interacting with Computers, Article iwae012. https://doi.org/10.1093/iwc/iwae012

Shalawadi, et al. (2026). Who gets to interpret the workout? User tensions with AI-generated fitness feedback. In 2026 ACM Designing Interactive Systems Conference. ACM. https://doi.org/10.1145/3800645.3812922

Tholander, J., & Nylander, S. (2015). Snot, sweat, pain, mud, and snow: Performance and experience in the use of sports watches. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 2913–2922).

Tholander, J. (2025). The Body as Its Own Best Sensor—An Autoethnographic Study of the Sensitivities of the Body in Long-Distance Running. Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems.

Xiao, X., Hedman, J., Tan, F. T. C., Tan, C. W., Lim, E. T., Clemenson, T., ... & Hillegersberg, J. V. (2017). Sports digitalization: An overview and a research agenda. In International Conference on Information Systems (ICIS). Association for Information Systems.