{"id":"https://openalex.org/W4323688010","doi":"https://doi.org/10.1145/3568162.3576977","title":"Implications of AI Bias in HRI","display_name":"Implications of AI Bias in HRI","publication_year":2023,"publication_date":"2023-03-09","ids":{"openalex":"https://openalex.org/W4323688010","doi":"https://doi.org/10.1145/3568162.3576977"},"language":"en","primary_location":{"id":"doi:10.1145/3568162.3576977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3568162.3576977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction","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/A5005357653","display_name":"Tom Hitron","orcid":"https://orcid.org/0000-0001-8611-9085"},"institutions":[{"id":"https://openalex.org/I4210093787","display_name":"Herzliya Medical Center","ror":"https://ror.org/00m6hsp80","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I4210093787"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Tom Hitron","raw_affiliation_strings":["Reichman University, Herzliya, Israel"],"raw_orcid":"https://orcid.org/0000-0001-8611-9085","affiliations":[{"raw_affiliation_string":"Reichman University, Herzliya, Israel","institution_ids":["https://openalex.org/I4210093787"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002522431","display_name":"Noa Morag Yaar","orcid":"https://orcid.org/0000-0003-4216-4137"},"institutions":[{"id":"https://openalex.org/I4210093787","display_name":"Herzliya Medical Center","ror":"https://ror.org/00m6hsp80","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I4210093787"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Noa Morag Yaar","raw_affiliation_strings":["Reichman University, Herzliya, Israel"],"raw_orcid":"https://orcid.org/0000-0003-4216-4137","affiliations":[{"raw_affiliation_string":"Reichman University, Herzliya, Israel","institution_ids":["https://openalex.org/I4210093787"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052449845","display_name":"Hadas Erel","orcid":"https://orcid.org/0000-0001-7099-6104"},"institutions":[{"id":"https://openalex.org/I4210093787","display_name":"Herzliya Medical Center","ror":"https://ror.org/00m6hsp80","country_code":"IL","type":"healthcare","lineage":["https://openalex.org/I4210093787"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Hadas Erel","raw_affiliation_strings":["Reichman University, Herzliya, Israel"],"raw_orcid":"https://orcid.org/0000-0001-7099-6104","affiliations":[{"raw_affiliation_string":"Reichman University, Herzliya, Israel","institution_ids":["https://openalex.org/I4210093787"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.8067,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.94388216,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9819999933242798,"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/T12128","display_name":"AI in Service Interactions","score":0.9751999974250793,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.7376956939697266},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.658822774887085},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.6413791179656982},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.5238204598426819},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.48471903800964355},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.47545215487480164},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.4369359612464905},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43398523330688477},{"id":"https://openalex.org/keywords/gender-bias","display_name":"Gender bias","score":0.4181179106235504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34742510318756104},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.31254786252975464}],"concepts":[{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.7376956939697266},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.658822774887085},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.6413791179656982},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.5238204598426819},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.48471903800964355},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.47545215487480164},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.4369359612464905},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43398523330688477},{"id":"https://openalex.org/C2983427547","wikidata":"https://www.wikidata.org/wiki/Q93200","display_name":"Gender bias","level":2,"score":0.4181179106235504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34742510318756104},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.31254786252975464},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3568162.3576977","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3568162.3576977","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5799999833106995,"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W639132055","https://openalex.org/W639967469","https://openalex.org/W1498101430","https://openalex.org/W1550364017","https://openalex.org/W1774111905","https://openalex.org/W1853837125","https://openalex.org/W1967124883","https://openalex.org/W1975174817","https://openalex.org/W1979453451","https://openalex.org/W1980912506","https://openalex.org/W1982044027","https://openalex.org/W2006447892","https://openalex.org/W2012372995","https://openalex.org/W2023898780","https://openalex.org/W2035833057","https://openalex.org/W2038976453","https://openalex.org/W2043461137","https://openalex.org/W2064149108","https://openalex.org/W2092209293","https://openalex.org/W2132049110","https://openalex.org/W2169124776","https://openalex.org/W2290094253","https://openalex.org/W2339721090","https://openalex.org/W2611961900","https://openalex.org/W2621141770","https://openalex.org/W2622938941","https://openalex.org/W2760062370","https://openalex.org/W2791568830","https://openalex.org/W2795530988","https://openalex.org/W2888056875","https://openalex.org/W2891523786","https://openalex.org/W2904314629","https://openalex.org/W2913868386","https://openalex.org/W2916904544","https://openalex.org/W2941915890","https://openalex.org/W2942721282","https://openalex.org/W2946647999","https://openalex.org/W3002773449","https://openalex.org/W3006422628","https://openalex.org/W3036356806","https://openalex.org/W3104114204","https://openalex.org/W3104883169","https://openalex.org/W3121853310","https://openalex.org/W3134046199","https://openalex.org/W3211846140","https://openalex.org/W4231165370","https://openalex.org/W4254148040","https://openalex.org/W4298128179"],"related_works":["https://openalex.org/W2090624569","https://openalex.org/W3215672432","https://openalex.org/W8302103","https://openalex.org/W4252225730","https://openalex.org/W4381329258","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727"],"abstract_inverted_index":{"Social":[0],"robotic":[1,22,41,179],"behavior":[2,68,76,84,136,180],"is":[3],"commonly":[4],"designed":[5],"using":[6],"AI":[7,155],"algorithms":[8],"which":[9],"are":[10],"trained":[11],"on":[12],"human":[13,26],"behavioral":[14],"data.":[15],"This":[16],"training":[17],"process":[18],"may":[19],"result":[20],"in":[21,62,107,137,172],"behaviors":[23],"that":[24,101,148],"echo":[25],"biases":[27,171],"and":[28,60,90,97,168],"stereotypes.":[29],"In":[30,48,115,129],"this":[31],"work,":[32],"we":[33],"evaluated":[34],"whether":[35],"an":[36],"interaction":[37,103],"with":[38,104,160],"a":[39,51,126],"biased":[40,161],"object":[42],"can":[43,163,181],"increase":[44],"participants'":[45,112],"stereotypical":[46,113,119,141,166,194],"thinking.":[47,114,195],"the":[49,102,105,108,116,132,138,175,190],"study,":[50],"gender-biased":[52],"robot":[53,106,133],"moderated":[54],"debates":[55],"between":[56],"two":[57],"participants":[58],"(man":[59],"woman)":[61],"three":[63],"conditions:":[64],"(1)":[65],"The":[66,74,82],"robot's":[67,75,83],"matched":[69],"gender":[70,78,88],"stereotypes":[71,79,89],"(Pro-Man);":[72],"(2)":[73],"countered":[77],"(Pro-Woman);":[80],"(3)":[81],"did":[85,91],"not":[86,92],"reflect":[87],"counter":[93],"them":[94],"(No-Preference).":[95],"Quantitative":[96],"qualitative":[98],"measures":[99],"indicated":[100],"Pro-Man":[109],"condition":[110],"increased":[111],"No-Preference":[117],"condition,":[118,140],"thinking":[120,142,167],"was":[121,143],"also":[122],"observed":[123],"but":[124],"to":[125,184,188],"lesser":[127],"extent.":[128],"contrast,":[130],"when":[131],"displayed":[134],"counter-biased":[135,178],"Pro-Woman":[139],"eliminated.":[144],"Our":[145],"findings":[146],"suggest":[147],"HRI":[149],"designers":[150],"must":[151],"be":[152,182],"conscious":[153],"of":[154,193],"algorithmic":[156],"biases,":[157],"as":[158],"interactions":[159],"robots":[162],"reinforce":[164],"implicit":[165],"exacerbate":[169],"existing":[170],"society.":[173],"On":[174],"other":[176],"hand,":[177],"leveraged":[183],"support":[185],"present":[186],"efforts":[187],"address":[189],"negative":[191],"impact":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}