Coach, Data Analyst, and Protector: Exploring Data Practices of Collegiate Coaching Staff

要旨

A rapidly emerging research community at the intersection of sport and human-computer interaction (SportsHCI) explores how technology can support physically active humans, such as athletes. At highly competitive levels, coaching staff play a central role in the athlete experience by using data to enhance performance, reduce injuries, and foster team success. However, little is known about the practices and needs of these coaching staff. We conducted five focus groups with 17 collegiate coaching staff across three women’s teams and two men’s teams at an elite U.S. university. Our findings show that coaching staff selectively use data with the goal of balancing performance goals, athlete emotional well-being, and privacy. This paper contributes design recommendations to support coaching staff in operating across the data life cycle through gathering, sharing, deciding, acting, and assessing data as they aim to support team success and foster the well-being of student-athletes.

著者
Mollie Brewer
University of Florida, Gainesville, Florida, United States
Kevin Childs
University of Florida, Gainesville, Florida, United States
Spencer Thomas
University Athletic Association, Gainesville, Florida, United States
Celeste Wilkins
University of Florida, Gainesville, Florida, United States
Kristy Elizabeth Boyer
University of Florida, Gainesville, Florida, United States
Jennifer A.. Nichols
University of Florida, Gainesville, Florida, United States
Kevin Butler
University of Florida, Gainesville, Florida, United States
Garrett F. Beatty
University of Florida, Gainesville, Florida, United States
Daniel P. Ferris
University of Florida, Gainesville, Florida, United States
DOI

10.1145/3706598.3714026

論文URL

https://dl.acm.org/doi/10.1145/3706598.3714026

動画

会議: CHI 2025

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2025.acm.org/)

セッション: Sports

G304
6 件の発表
2025-04-30 01:20:00
2025-04-30 02:50:00
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