Is it just a score? Understanding Training Load Management Practices Beyond Sports Tracking
Armagan Karahanoglu, Aykut Coskun, Dees B. W. Postma, Bouke Leonard Scheltinga, Rúben Gouveia, Dennis Reidsma, Jasper Reenalda
Abstract
Training Load Management (TLM) is crucial for achieving optimal athletic performance and preventing chronic sports injuries. Current sports trackers provide runners with data to manage their training load. However, little is known about the extent and the way sports trackers are used for TLM. We conducted a survey (N=249) and interviews (N=24) with runners to understand sports tracker use in TLM practices. We found that runners possess some understanding of training load and generally trust their trackers to provide accurate training load-related data. Still, they hesitate to strictly follow trackers’ suggestions in managing their training load, often relying on their intuitions and body signals to determine and adapt training plans. Our findings contribute to SportsHCI research by shedding light on how sports trackers are incorporated into TLM practices and providing implications for developing trackers that better support runners in managing their training load.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers1
Ask how each one uses itBuilds on3
- Designing Human-Agent Collaborations: Commitment, responsiveness, and supportNazli CilaCHI 2022 · 64 citations
- Data Everyday: Data Literacy Practices in a Division I College Sports ContextTamara L. Clegg, Daniel Marcus Greene, Nate Beard, Jasmine BrunsonCHI 2020 · 34 citations
- Exploring Approaches to Data Literacy Through a Critical Race Theory PerspectiveBritney Johnson, Ben Rydal Shapiro, Betsy DiSalvo, Annabel Rothschild et al.CHI 2021 · 31 citations
Related papers
- Understanding Fitness Tracker Users' Security and Privacy Knowledge, Attitudes and BehavioursSandra Gabriele, Sonia ChiassonCHI 2020 · 61 citations
- Improve my Performance, Protect my State of Mind: How Collegiate Student-Athletes Engage with their Sports DataMollie Brewer, Kevin Childs, Spencer Thomas, Celeste Wilkins et al.CHI 2026 · 1 citation
- The Body as Its Own Best Sensor - An Autoethnographic Study of the Sensitivities of the Body in Long-Distance RunningJakob TholanderCHI 2025 · 10 citations
- The Technology-Mediated Reflection Model: Barriers and Assistance in Data-Driven ReflectionMarit Bentvelzen, Jasmin Niess, Pawel W. WozniakCHI 2021 · 46 citations
- The Framework of the Lived Experience of Metrics: Understanding the Purposes and Activities of Self-Tracking MetricsMeagan B. Loerakker, Tora Jarsve, Jasmin Niess, Pawel W. WozniakCHI 2025 · 13 citations
