{"id":"https://openalex.org/W4388915695","doi":"https://doi.org/10.1109/tencon58879.2023.10322368","title":"Exploring the Cultural Gaps in Facial Expression Recognition Systems by Visual Features","display_name":"Exploring the Cultural Gaps in Facial Expression Recognition Systems by Visual Features","publication_year":2023,"publication_date":"2023-10-31","ids":{"openalex":"https://openalex.org/W4388915695","doi":"https://doi.org/10.1109/tencon58879.2023.10322368"},"language":"en","primary_location":{"id":"doi:10.1109/tencon58879.2023.10322368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"},"type":"article","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/A5084710623","display_name":"Prarinya Siritanawan","orcid":"https://orcid.org/0000-0002-9023-3208"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Prarinya Siritanawan","raw_affiliation_strings":["School of Information Science, JAIST,Nomi,Ishikawa,Japan","School of Information Science, JAIST, Nomi, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Information Science, JAIST,Nomi,Ishikawa,Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"School of Information Science, JAIST, Nomi, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060055178","display_name":"Haruyuki Kojima","orcid":"https://orcid.org/0000-0003-0942-3117"},"institutions":[{"id":"https://openalex.org/I10091056","display_name":"Kanazawa University","ror":"https://ror.org/02hwp6a56","country_code":"JP","type":"education","lineage":["https://openalex.org/I10091056"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Haruyuki Kojima","raw_affiliation_strings":["Kanazawa University,Faculty of Human Sciences,Kanazawa,Ishikawa,Japan","Faculty of Human Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kanazawa University,Faculty of Human Sciences,Kanazawa,Ishikawa,Japan","institution_ids":["https://openalex.org/I10091056"]},{"raw_affiliation_string":"Faculty of Human Sciences, Kanazawa University, Kanazawa, Ishikawa, Japan","institution_ids":["https://openalex.org/I10091056"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101569984","display_name":"Kazunori Kotani","orcid":"https://orcid.org/0000-0002-8960-1114"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Kotani","raw_affiliation_strings":["JAIST,Division of Transdisciplinary Sciences,Nomi,Ishikawa,Japan","Division of Transdisciplinary Sciences, JAIST, Nomi, Ishikawa, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JAIST,Division of Transdisciplinary Sciences,Nomi,Ishikawa,Japan","institution_ids":["https://openalex.org/I177738480"]},{"raw_affiliation_string":"Division of Transdisciplinary Sciences, JAIST, Nomi, Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9452,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.77283711,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1157","last_page":"1162"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T10667","display_name":"Emotion and Mood Recognition","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T10057","display_name":"Face and Expression Recognition","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.7253606915473938},{"id":"https://openalex.org/keywords/cultural-diversity","display_name":"Cultural diversity","score":0.6714457273483276},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5940968990325928},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5711822509765625},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5351741313934326},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5122991800308228},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49318474531173706},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4599970281124115},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.39889296889305115},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3768179416656494},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36630409955978394},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.341227650642395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.21713578701019287},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.16049832105636597},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08863669633865356}],"concepts":[{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.7253606915473938},{"id":"https://openalex.org/C125209646","wikidata":"https://www.wikidata.org/wiki/Q1338878","display_name":"Cultural diversity","level":2,"score":0.6714457273483276},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5940968990325928},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5711822509765625},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5351741313934326},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5122991800308228},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49318474531173706},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4599970281124115},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.39889296889305115},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3768179416656494},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36630409955978394},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.341227650642395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.21713578701019287},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.16049832105636597},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08863669633865356},{"id":"https://openalex.org/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tencon58879.2023.10322368","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tencon58879.2023.10322368","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"TENCON 2023 - 2023 IEEE Region 10 Conference (TENCON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6100000143051147}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1582066090","https://openalex.org/W1965639183","https://openalex.org/W1996958556","https://openalex.org/W2026666116","https://openalex.org/W2041616772","https://openalex.org/W2102570318","https://openalex.org/W2103943262","https://openalex.org/W2149628368","https://openalex.org/W2194775991","https://openalex.org/W2244142460","https://openalex.org/W2395639500","https://openalex.org/W2540801879","https://openalex.org/W2912483755","https://openalex.org/W2913821117","https://openalex.org/W2955425717","https://openalex.org/W2995034616","https://openalex.org/W3161346624","https://openalex.org/W4236533540","https://openalex.org/W4309679132","https://openalex.org/W4311721436","https://openalex.org/W4389933876","https://openalex.org/W6762718338","https://openalex.org/W6792977705","https://openalex.org/W6859281400"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2162992774","https://openalex.org/W4323520705","https://openalex.org/W2356663679","https://openalex.org/W2169777806"],"abstract_inverted_index":{"This":[0],"study":[1],"investigates":[2],"the":[3,19,77,101,110],"cultural":[4,27,42,98,117],"dependence":[5],"of":[6,21,63,79,116],"a":[7,123],"facial":[8,64],"expression":[9],"recognition":[10,23],"(FER)":[11],"system":[12],"in":[13,25,37,46,93,119],"an":[14],"interactive":[15],"agent":[16],"by":[17],"analyzing":[18],"performance":[20,33,39],"several":[22,54],"models":[24,82],"different":[26,41],"domains.":[28],"A":[29],"comprehensive":[30],"cross-domain":[31],"classification":[32],"assessment":[34],"reveals":[35],"disparities":[36],"model":[38],"across":[40,57,96],"contexts,":[43,99],"indicating":[44],"challenges":[45],"cross-cultural":[47,61],"FER.":[48],"To":[49],"further":[50],"investigate":[51],"these":[52,97],"characteristics,":[53],"public":[55],"datasets":[56],"regions":[58],"and":[59,69,129],"our":[60,85],"dataset":[62],"expressions":[65],"derived":[66],"from":[67],"Thai":[68],"Japanese":[70],"TV":[71],"shows":[72],"are":[73],"analyzed.":[74],"By":[75],"evaluating":[76],"capacity":[78],"existing":[80],"FER":[81,120],"to":[83],"interpret":[84],"newly":[86],"collected":[87],"data,":[88],"we":[89],"found":[90],"significant":[91],"variations":[92],"emotion":[94],"interpretation":[95],"highlighting":[100],"necessity":[102],"for":[103,113],"culturally":[104,130],"inclusive":[105,128],"algorithms.":[106],"These":[107],"findings":[108],"underscore":[109],"critical":[111],"need":[112],"more":[114,127],"consideration":[115],"diversity":[118],"research,":[121],"marking":[122],"crucial":[124],"step":[125],"toward":[126],"sensitive":[131],"artificial":[132],"intelligence":[133],"technologies.":[134]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}