{"id":"https://openalex.org/W4387789492","doi":"https://doi.org/10.1109/access.2023.3325891","title":"Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment","display_name":"Fairness-Aware Multimodal Learning in Automatic Video Interview Assessment","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387789492","doi":"https://doi.org/10.1109/access.2023.3325891"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3325891","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3325891","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287972.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287972.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5089902462","display_name":"C. Kim","orcid":"https://orcid.org/0009-0006-4855-440X"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Changwoo Kim","raw_affiliation_strings":["Department of Artificial Intelligence, Dongguk University, Jung-gu, Seoul, South Korea","Department of Artificial Intelligence, Dongguk University-Seoul Pildong-ro 1-gil, Jung-Gu, Seoul, Korea"],"raw_orcid":"https://orcid.org/0009-0006-4855-440X","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, Dongguk University, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Artificial Intelligence, Dongguk University-Seoul Pildong-ro 1-gil, Jung-Gu, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005762242","display_name":"Jin\u2010Ho Choi","orcid":"https://orcid.org/0000-0002-0094-9692"},"institutions":[{"id":"https://openalex.org/I157485424","display_name":"Korea Advanced Institute of Science and Technology","ror":"https://ror.org/05apxxy63","country_code":"KR","type":"education","lineage":["https://openalex.org/I157485424"]},{"id":"https://openalex.org/I4210147139","display_name":"Genesis Research Institute","ror":"https://ror.org/04kytbz16","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210147139"]}],"countries":["JP","KR"],"is_corresponding":false,"raw_author_name":"Jinho Choi","raw_affiliation_strings":["Genesis Laboratory, Jung-gu, Seoul, South Korea","Graduate School of AI at KAIST, Daejeon, Korea","Genesislab, Myeongdong-gil 73, Jung-gu, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0002-0094-9692","affiliations":[{"raw_affiliation_string":"Genesis Laboratory, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I4210147139"]},{"raw_affiliation_string":"Graduate School of AI at KAIST, Daejeon, Korea","institution_ids":["https://openalex.org/I157485424"]},{"raw_affiliation_string":"Genesislab, Myeongdong-gil 73, Jung-gu, Seoul, Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102955109","display_name":"Jongyeon Yoon","orcid":"https://orcid.org/0009-0000-3565-5849"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongyeon Yoon","raw_affiliation_strings":["Department of Statistics, Dongguk University, Jung-gu, Seoul, South Korea","Department of Statistics, Dongguk University-Seoul, Pildong-ro 1-gil, Jung-Gu, Seoul, Korea"],"raw_orcid":"https://orcid.org/0009-0000-3565-5849","affiliations":[{"raw_affiliation_string":"Department of Statistics, Dongguk University, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Department of Statistics, Dongguk University-Seoul, Pildong-ro 1-gil, Jung-Gu, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089433636","display_name":"Daehun Yoo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210147139","display_name":"Genesis Research Institute","ror":"https://ror.org/04kytbz16","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210147139"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Daehun Yoo","raw_affiliation_strings":["Genesis Laboratory, Jung-gu, Seoul, South Korea","Genesislab, Myeongdong-gil 73, Jung-gu, Seoul, Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Genesis Laboratory, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I4210147139"]},{"raw_affiliation_string":"Genesislab, Myeongdong-gil 73, Jung-gu, Seoul, Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108049393","display_name":"Woojin Lee","orcid":"https://orcid.org/0000-0002-7432-4185"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woojin Lee","raw_affiliation_strings":["College of AI Convergence, Dongguk University, Jung-gu, Seoul, South Korea","College of AI Convergence, Dongguk University-Seoul Pildong-ro 1-gil, Jung-Gu, Seoul, Korea"],"raw_orcid":"https://orcid.org/0000-0002-7432-4185","affiliations":[{"raw_affiliation_string":"College of AI Convergence, Dongguk University, Jung-gu, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"College of AI Convergence, Dongguk University-Seoul Pildong-ro 1-gil, Jung-Gu, Seoul, Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5089902462"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.8646,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92624748,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"11","issue":null,"first_page":"122677","last_page":"122693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9961000084877014,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9961000084877014,"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8174922466278076},{"id":"https://openalex.org/keywords/hyperparameter","display_name":"Hyperparameter","score":0.6070427298545837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6058166027069092},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6055024862289429},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.5886685848236084},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.5490926504135132},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5174984931945801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8174922466278076},{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.6070427298545837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6058166027069092},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6055024862289429},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.5886685848236084},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.5490926504135132},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5174984931945801},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2023.3325891","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3325891","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287972.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:aca14b7337cf482f9d23f428c5174d22","is_oa":true,"landing_page_url":"https://doaj.org/article/aca14b7337cf482f9d23f428c5174d22","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 122677-122693 (2023)","raw_type":"article"},{"id":"pmh:oai:figshare.com:article/25230224","is_oa":true,"landing_page_url":"https://figshare.com/articles/journal_contribution/Fairness-Aware_Multimodal_Learning_in_Automatic_Video_Interview_Assessment/25230224","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3325891","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3325891","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10287972.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387789492.pdf","grobid_xml":"https://content.openalex.org/works/W4387789492.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W1639961155","https://openalex.org/W1731081199","https://openalex.org/W1833550036","https://openalex.org/W1834627138","https://openalex.org/W2014352947","https://openalex.org/W2059141064","https://openalex.org/W2097246321","https://openalex.org/W2116984840","https://openalex.org/W2138447111","https://openalex.org/W2148241653","https://openalex.org/W2158192499","https://openalex.org/W2162670686","https://openalex.org/W2192412620","https://openalex.org/W2341528187","https://openalex.org/W2530395818","https://openalex.org/W2739748921","https://openalex.org/W2786879748","https://openalex.org/W2788241675","https://openalex.org/W2896457183","https://openalex.org/W2908510526","https://openalex.org/W2909334458","https://openalex.org/W2945903605","https://openalex.org/W2949200088","https://openalex.org/W2950145857","https://openalex.org/W2962790618","https://openalex.org/W2962977061","https://openalex.org/W2963100392","https://openalex.org/W2963116854","https://openalex.org/W2963174898","https://openalex.org/W2964201867","https://openalex.org/W2965119030","https://openalex.org/W2966142947","https://openalex.org/W3008843783","https://openalex.org/W3023001449","https://openalex.org/W3038932756","https://openalex.org/W3039690871","https://openalex.org/W3091960521","https://openalex.org/W3094268584","https://openalex.org/W3101998545","https://openalex.org/W3120740533","https://openalex.org/W3161452233","https://openalex.org/W3191705604","https://openalex.org/W3193946479","https://openalex.org/W3197635470","https://openalex.org/W4206580719","https://openalex.org/W4220820301","https://openalex.org/W4281565477","https://openalex.org/W4287218595","https://openalex.org/W4295521014","https://openalex.org/W6637618735","https://openalex.org/W6684072790","https://openalex.org/W6728551298","https://openalex.org/W6732249622","https://openalex.org/W6735913928","https://openalex.org/W6741832134","https://openalex.org/W6748256130","https://openalex.org/W6755207826","https://openalex.org/W6757817989","https://openalex.org/W6757904846","https://openalex.org/W6762760276","https://openalex.org/W6763290930","https://openalex.org/W6763398819","https://openalex.org/W6766396606","https://openalex.org/W6788247690","https://openalex.org/W6809846253","https://openalex.org/W7014198846"],"related_works":["https://openalex.org/W4390421286","https://openalex.org/W4280563792","https://openalex.org/W2602382373","https://openalex.org/W3003615511","https://openalex.org/W4285827128","https://openalex.org/W3198113463","https://openalex.org/W2787698406","https://openalex.org/W2963844355","https://openalex.org/W4361251046","https://openalex.org/W98577079"],"abstract_inverted_index":{"With":[0],"the":[1,17,47,98,121,127],"ever-growing":[2],"reliance":[3],"on":[4],"Artificial":[5],"Intelligence":[6],"(AI)":[7],"across":[8],"diverse":[9],"domains,":[10],"there":[11],"is":[12,74],"an":[13,62],"increasing":[14],"concern":[15],"surrounding":[16],"possibility":[18],"of":[19,124,141],"biases":[20],"and":[21,102],"unfairness":[22,125],"inherent":[23],"in":[24,29,46,61,108,126,139],"AI":[25],"systems.":[26],"Fairness":[27],"problems":[28,60],"automatic":[30],"interview":[31,37,64],"assessment":[32,65],"systems,":[33],"especially":[34],"video-based":[35],"automated":[36,63],"assessments,":[38],"have":[39],"less":[40],"been":[41],"addressed":[42],"despite":[43],"their":[44],"prevalence":[45],"recruiting":[48],"field.":[49],"In":[50],"this":[51],"paper,":[52],"we":[53,91,112],"propose":[54],"a":[55,87,93,114],"method":[56,107,116,135],"that":[57,67,95,117,133],"resolves":[58],"fairness":[59,101,142],"system":[66],"uses":[68],"multimodal":[69],"data":[70,110],"as":[71],"input.":[72],"This":[73],"mainly":[75],"done":[76],"by":[77,85],"minimizing":[78],"theWasserstein":[79],"distance":[80],"between":[81,100],"two":[82],"sensitive":[83],"groups":[84],"introducing":[86],"regularization":[88],"term.":[89],"Subsequently,":[90],"employ":[92],"hyperparameter":[94],"can":[96,118],"control":[97],"trade-off":[99],"accuracy.":[103],"To":[104],"test":[105],"our":[106,134],"various":[109],"settings,":[111],"suggest":[113],"preprocessing":[115],"manually":[119],"adjust":[120],"underlying":[122],"degree":[123],"training":[128],"data.":[129],"Experimental":[130],"results":[131,138],"show":[132],"presents":[136],"state-of-the-art":[137],"terms":[140],"compared":[143],"to":[144],"previous":[145],"methods.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
