Publication:
Is it just a score? understanding training load management practices beyond sports tracking

dc.contributor.coauthorKarahanoğlu, Armağan
dc.contributor.coauthorPostma, Dees
dc.contributor.coauthorScheltinga, Bouke Leonard
dc.contributor.coauthorGouveia, Rúben
dc.contributor.coauthorReidsma, Dennis
dc.contributor.coauthorReenalda, Jasper
dc.contributor.departmentDepartment of Media and Visual Arts
dc.contributor.departmentKUAR (KU Arçelik Research Center for Creative Industries)
dc.contributor.kuauthorCoşkun, Aykut
dc.contributor.schoolcollegeinstituteCollege of Social Sciences and Humanities
dc.contributor.schoolcollegeinstituteResearch Center
dc.date.accessioned2024-12-29T09:37:00Z
dc.date.issued2024
dc.description.abstractTraining 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.
dc.description.indexedbyWOS
dc.description.indexedbyScopus
dc.description.openaccessAll Open Access
dc.description.openaccessHybrid Gold Open Access
dc.description.publisherscopeInternational
dc.description.sponsoredbyTubitakEuN/A
dc.description.sponsorshipWe would like to thank Ir. Amalia Zafeiri for her help in the earlier versions of this research and the participants for their valuable time. Grant Sponsor This study was partically supported by Dutch Research Council (NWO) award number: NWO-406.XS.01.112.
dc.identifier.doi10.1145/3613904.3642051
dc.identifier.isbn979-840070330-0
dc.identifier.quartileN/A
dc.identifier.scopus2-s2.0-85194826689
dc.identifier.urihttps://doi.org/10.1145/3613904.3642051
dc.identifier.urihttps://hdl.handle.net/20.500.14288/22226
dc.identifier.wos1255317903009
dc.keywordsHuman-data interaction
dc.keywordsPersonal informatics
dc.keywordsRunning
dc.keywordsSports tracking
dc.keywordsSportsHCI
dc.keywordsTraining load management
dc.language.isoeng
dc.publisherAssociation for Computing Machinery
dc.relation.ispartofConference on Human Factors in Computing Systems - Proceedings
dc.subjectComputer science
dc.titleIs it just a score? understanding training load management practices beyond sports tracking
dc.typeConference Proceeding
dspace.entity.typePublication
local.contributor.kuauthorCoşkun, Aykut
local.publication.orgunit1College of Social Sciences and Humanities
local.publication.orgunit1Research Center
local.publication.orgunit2Department of Media and Visual Arts
local.publication.orgunit2KUAR (KU Arçelik Research Center for Creative Industries)
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relation.isOrgUnitOfPublication.latestForDiscovery483fa792-2b89-4020-9073-eb4f497ee3fd
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