{"id":"https://openalex.org/W4366968124","doi":"https://doi.org/10.1145/3544793.3563408","title":"Bodily Condition Estimation of Archery Learners Using Interoceptive Accuracy","display_name":"Bodily Condition Estimation of Archery Learners Using Interoceptive Accuracy","publication_year":2022,"publication_date":"2022-09-11","ids":{"openalex":"https://openalex.org/W4366968124","doi":"https://doi.org/10.1145/3544793.3563408"},"language":"en","primary_location":{"id":"doi:10.1145/3544793.3563408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3563408","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3563408","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3563408","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007721834","display_name":"Zexiong Gao","orcid":"https://orcid.org/0000-0002-9412-9854"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Zexiong Gao","raw_affiliation_strings":["Keio University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9412-9854","affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026115197","display_name":"Satoki Hamanaka","orcid":"https://orcid.org/0000-0001-8996-8576"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Satoki Hamanaka","raw_affiliation_strings":["Faculty of Environment and Information Studies, Keio university, Japan"],"raw_orcid":"https://orcid.org/0000-0001-8996-8576","affiliations":[{"raw_affiliation_string":"Faculty of Environment and Information Studies, Keio university, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030654750","display_name":"Yuki Inui","orcid":null},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Yuki Inui","raw_affiliation_strings":["Keio University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9665-621X","affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013087399","display_name":"Kentaro Goto","orcid":"https://orcid.org/0000-0003-3591-6214"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kentaro Goto","raw_affiliation_strings":["Keio University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3591-6214","affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004599209","display_name":"Hiroo Bekku","orcid":"https://orcid.org/0000-0002-3460-473X"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroo Bekku","raw_affiliation_strings":["Keio University, Japan"],"raw_orcid":"https://orcid.org/0000-0002-3460-473X","affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039494960","display_name":"Wataru Sasaki","orcid":"https://orcid.org/0000-0003-1126-9569"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Wataru Sasaki","raw_affiliation_strings":["Keio University, Japan"],"raw_orcid":"https://orcid.org/0000-0003-1126-9569","affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013277420","display_name":"T. Okoshi","orcid":"https://orcid.org/0000-0001-9574-7278"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tadashi Okoshi","raw_affiliation_strings":["Faculty of Environment and Information Studies, Keio University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9574-7278","affiliations":[{"raw_affiliation_string":"Faculty of Environment and Information Studies, Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085786840","display_name":"Jin Nakazawa","orcid":"https://orcid.org/0000-0001-9718-4552"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Jin Nakazawa","raw_affiliation_strings":["Keio University, Japan"],"raw_orcid":"https://orcid.org/0000-0001-9718-4552","affiliations":[{"raw_affiliation_string":"Keio University, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5007721834"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.23304954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"173","last_page":"177"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10813","display_name":"Sport Psychology and Performance","score":0.986299991607666,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13752","display_name":"Mechanics and Biomechanics Studies","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5908976793289185},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5601295232772827},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5141704082489014},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.47035717964172363},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3957068920135498},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39416542649269104},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.3802340626716614},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3725961744785309},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.339703768491745},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11165612936019897}],"concepts":[{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5908976793289185},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5601295232772827},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5141704082489014},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.47035717964172363},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3957068920135498},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39416542649269104},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.3802340626716614},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3725961744785309},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.339703768491745},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11165612936019897},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544793.3563408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3563408","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3563408","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3544793.3563408","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3544793.3563408","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3544793.3563408","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.7799999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366968124.pdf","grobid_xml":"https://content.openalex.org/works/W4366968124.grobid-xml"},"referenced_works_count":17,"referenced_works":["https://openalex.org/W1671864055","https://openalex.org/W1689644917","https://openalex.org/W1776647345","https://openalex.org/W1966051761","https://openalex.org/W2046506639","https://openalex.org/W2096970808","https://openalex.org/W2099442165","https://openalex.org/W2104552834","https://openalex.org/W2119562754","https://openalex.org/W2164368909","https://openalex.org/W2167557160","https://openalex.org/W2167576525","https://openalex.org/W2559085405","https://openalex.org/W2769130486","https://openalex.org/W2963155035","https://openalex.org/W3041110519","https://openalex.org/W3204484979"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W4205958290"],"abstract_inverted_index":{"Previous":[0],"studies":[1,70],"have":[2],"shown":[3],"that":[4,164,186],"not":[5,201],"only":[6,202],"player":[7],"skill":[8],"but":[9,207],"also":[10,208],"psychological":[11,34],"factors":[12],"contribute":[13],"to":[14,21,32,59,131,194],"improving":[15,22],"archery":[16,26,55,138],"scores.":[17],"Therefore,":[18],"in":[19,57,63,115,124,204],"addition":[20,156],"learners\u2019":[23],"posture,":[24],"an":[25],"learning":[27],"support":[28],"system":[29],"is":[30,89,200],"required":[31],"improve":[33],"coping":[35],"skills,":[36],"such":[37],"as":[38,91],"mental":[39,196],"and":[40,104,150,197],"physical":[41,198],"condition":[42,53,72,123,179,188],"management":[43],"skills.":[44],"This":[45],"study":[46],"propose":[47],"a":[48,92,120],"method":[49,149,153],"for":[50,210],"estimating":[51],"the":[52,112,116,147,151,155,165],"of":[54,71,95,100,118,122,157,174,218],"learners":[56],"order":[58],"provide":[60],"appropriate":[61],"instruction":[62],"accordance":[64],"with":[65,154],"their":[66],"condition.":[67],"In":[68],"previous":[69],"estimation,":[73],"input":[74],"data":[75,81,88,140],"are":[76,82,102,111],"usually":[77,83],"objective":[78],"while":[79],"label":[80],"subjective.":[84],"Such":[85],"bias":[86],"between":[87],"considered":[90],"partial":[93],"reason":[94],"estimation":[96,189],"accuracy":[97,130],"reduction.":[98],"Judgments":[99],"conditions":[101],"subjective":[103],"individually":[105],"different.":[106],"Subjects\u2019":[107],"emotion":[108],"recognition":[109],"abilities(ERA)":[110],"individual":[113,172],"differences":[114,173],"judgment":[117],"emotions,":[119],"part":[121],"our":[125],"study.":[126],"We":[127,184],"utilized":[128],"interoceptive":[129],"objectively":[132,158],"evaluate":[133],"subjects\u2019":[134],"ERA.":[135,160],"Based":[136],"on":[137,215],"movement":[139],"collected":[141],"from":[142],"10":[143],"subjects,":[144,177],"we":[145],"compared":[146],"baseline":[148,182],"proposed":[152,187],"evaluated":[159],"The":[161],"results":[162],"showed":[163],"latter":[166],"method,":[167,190],"which":[168,191],"took":[169],"into":[170],"account":[171],"ERA":[175],"among":[176],"estimated":[178],"better":[180,216],"than":[181],"method.":[183],"believe":[185],"pays":[192],"regard":[193],"users\u2019":[195],"condition,":[199],"useful":[203],"sports":[205],"scenarios,":[206],"necessary":[209],"supporting":[211],"human":[212],"well-bing":[213],"based":[214],"understanding":[217],"user":[219],"context.":[220]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}