Is it just a score? Understanding Training Load Management Practices Beyond Sports Tracking

Armağan Karahanoğlu, Aykut Coskun, Dees Postma, Bouke L. Scheltinga, Rúben Gouveia, Dennis Reidsma, J. Reenalda

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)
224 Downloads (Pure)

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 languageEnglish
Title of host publicationCHI ’24
PublisherACM Press
ISBN (Electronic)9798400703300
DOIs
Publication statusPublished - 11 May 2024
EventACM CHI Conference on Human Factors in Computing Systems, CHI 2024: Surfing the World - Honolulu, United States
Duration: 11 May 202416 May 2024
https://chi2024.acm.org

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems, CHI 2024
Abbreviated titleCHI 2024
Country/TerritoryUnited States
CityHonolulu
Period11/05/2416/05/24
Internet address

Keywords

  • Training load management
  • SportsHCI
  • human-data interaction
  • sports tracking
  • personal informatics

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