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.
Original language | English |
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Title of host publication | CHI ’24 |
Publisher | ACM Press |
ISBN (Electronic) | 9798400703300 |
DOIs | |
Publication status | Published - 11 May 2024 |
Event | ACM CHI Conference on Human Factors in Computing Systems, CHI 2024: Surfing the World - Honolulu, United States Duration: 11 May 2024 → 16 May 2024 https://chi2024.acm.org |
Conference
Conference | ACM CHI Conference on Human Factors in Computing Systems, CHI 2024 |
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Abbreviated title | CHI 2024 |
Country/Territory | United States |
City | Honolulu |
Period | 11/05/24 → 16/05/24 |
Internet address |
Keywords
- Training load management
- SportsHCI
- human-data interaction
- sports tracking
- personal informatics