{"id":"https://openalex.org/W4224981537","doi":"https://doi.org/10.1145/3491102.3517540","title":"How AI-Based Training Affected the Performance of Professional Go Players","display_name":"How AI-Based Training Affected the Performance of Professional Go Players","publication_year":2022,"publication_date":"2022-04-28","ids":{"openalex":"https://openalex.org/W4224981537","doi":"https://doi.org/10.1145/3491102.3517540"},"language":"en","primary_location":{"id":"doi:10.1145/3491102.3517540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491102.3517540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607743","display_name":"CHI Conference on Human Factors in Computing Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5029726119","display_name":"Jimoon Kang","orcid":"https://orcid.org/0000-0003-0809-1376"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jimoon Kang","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Korea, Republic of","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051724632","display_name":"June-Seop Yoon","orcid":"https://orcid.org/0000-0002-3292-5329"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"June Seop Yoon","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Korea, Republic of","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078211287","display_name":"Byungjoo Lee","orcid":"https://orcid.org/0009-0003-1547-9923"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Byungjoo Lee","raw_affiliation_strings":["Department of Computer Science, Yonsei University, Korea, Republic of"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Yonsei University, Korea, Republic of","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":2.024,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.88548128,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11574","display_name":"Artificial Intelligence in Games","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10731","display_name":"Educational Games and Gamification","score":0.998199999332428,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/champion","display_name":"Champion","score":0.9271475076675415},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5283123850822449},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48030728101730347},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42883315682411194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42765557765960693},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4108218550682068},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.35820943117141724},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.35446691513061523},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.12710919976234436},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09838336706161499}],"concepts":[{"id":"https://openalex.org/C2780465443","wikidata":"https://www.wikidata.org/wiki/Q852061","display_name":"Champion","level":2,"score":0.9271475076675415},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5283123850822449},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48030728101730347},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42883315682411194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42765557765960693},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4108218550682068},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.35820943117141724},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.35446691513061523},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.12710919976234436},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09838336706161499},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3491102.3517540","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3491102.3517540","pdf_url":null,"source":{"id":"https://openalex.org/S4363607743","display_name":"CHI Conference on Human Factors in Computing Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2814307312","display_name":null,"funder_award_id":"2020R1A2C4002146","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G4314386001","display_name":null,"funder_award_id":"R2021040105","funder_id":"https://openalex.org/F4320323890","funder_display_name":"Korea Creative Content Agency"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"},{"id":"https://openalex.org/F4320323890","display_name":"Korea Creative Content Agency","ror":"https://ror.org/036vyg793"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1500868819","https://openalex.org/W1964147045","https://openalex.org/W2032242296","https://openalex.org/W2033016725","https://openalex.org/W2121502291","https://openalex.org/W2126316555","https://openalex.org/W2261254692","https://openalex.org/W2416658125","https://openalex.org/W2484132635","https://openalex.org/W2560501328","https://openalex.org/W2582336686","https://openalex.org/W2913987667","https://openalex.org/W3092698280","https://openalex.org/W3101697314","https://openalex.org/W4206472961"],"related_works":["https://openalex.org/W4214884552","https://openalex.org/W1527316992","https://openalex.org/W2598697217","https://openalex.org/W2370344494","https://openalex.org/W2586526192","https://openalex.org/W3137896670","https://openalex.org/W1981363278","https://openalex.org/W2085281175","https://openalex.org/W591012094","https://openalex.org/W2158036690"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"we":[3],"analyzed":[4],"how":[5],"the":[6,15,19,48,53,86],"performance":[7],"of":[8,17,55,60,69,80,88,145],"professional":[9,36],"Go":[10,30,37,49,74,82],"players":[11,38,83,89,134],"has":[12,43,99,116,128],"changed":[13],"since":[14,52,102,120],"advent":[16,54],"AlphaGo,":[18],"first":[20],"artificial":[21],"intelligence":[22],"(AI)":[23],"application":[24],"to":[25,90,94,106,132,138],"defeat":[26],"a":[27,66,114],"human":[28],"world":[29],"champion.":[31],"We":[32,122],"interviewed":[33],"and":[34,39,76,135],"surveyed":[35],"found":[40,124],"that":[41,125],"AI":[42,98],"been":[44],"actively":[45],"introduced":[46],"into":[47],"training":[50,62,127],"process":[51],"AlphaGo.":[56],"The":[57,104],"significant":[58],"impact":[59],"AI-based":[61,126],"was":[63],"confirmed":[64],"in":[65,72],"subsequent":[67],"analysis":[68],"6,292":[70],"games":[71],"Korean":[73],"tournaments":[75],"Elo":[77,140],"rating":[78],"data":[79],"1,362":[81],"worldwide.":[84],"Overall,":[85],"tendency":[87],"make":[91],"moves":[92],"similar":[93],"those":[95,144],"recommended":[96],"by":[97],"sharply":[100],"increased":[101],"2017.":[103,121],"degree":[105],"which":[107],"players\u2019":[108],"expected":[109],"win":[110],"rates":[111],"fluctuate":[112],"during":[113],"game":[115],"also":[117,123],"decreased":[118],"significantly":[119],"provided":[129],"more":[130],"benefits":[131],"senior":[133],"allowed":[136],"them":[137],"achieve":[139],"ratings":[141],"higher":[142],"than":[143],"junior":[146],"players.":[147]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5}],"updated_date":"2026-07-30T17:31:21.811387","created_date":"2025-10-10T00:00:00"}