{"id":"https://openalex.org/W4298128179","doi":"https://doi.org/10.1109/ro-man53752.2022.9900673","title":"AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots","display_name":"AI bias in Human-Robot Interaction: An evaluation of the Risk in Gender Biased Robots","publication_year":2022,"publication_date":"2022-08-29","ids":{"openalex":"https://openalex.org/W4298128179","doi":"https://doi.org/10.1109/ro-man53752.2022.9900673"},"language":"en","primary_location":{"id":"doi:10.1109/ro-man53752.2022.9900673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900673","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tom Hitron","raw_affiliation_strings":["Reichman University,Media Innovation Lab,Israel","Media Innovation Lab, Reichman University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reichman University,Media Innovation Lab,Israel","institution_ids":[]},{"raw_affiliation_string":"Media Innovation Lab, Reichman University, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043547606","display_name":"Benny Megidish","orcid":"https://orcid.org/0000-0003-1578-1949"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Benny Megidish","raw_affiliation_strings":["Reichman University,Media Innovation Lab,Israel","Media Innovation Lab, Reichman University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reichman University,Media Innovation Lab,Israel","institution_ids":[]},{"raw_affiliation_string":"Media Innovation Lab, Reichman University, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067057322","display_name":"Etay Todress","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Etay Todress","raw_affiliation_strings":["Reichman University,Media Innovation Lab,Israel","Media Innovation Lab, Reichman University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reichman University,Media Innovation Lab,Israel","institution_ids":[]},{"raw_affiliation_string":"Media Innovation Lab, Reichman University, Israel","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018128304","display_name":"Noa Morag","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Noa Morag","raw_affiliation_strings":["Reichman University,Media Innovation Lab,Israel","Media Innovation Lab, Reichman University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reichman University,Media Innovation Lab,Israel","institution_ids":[]},{"raw_affiliation_string":"Media Innovation Lab, Reichman University, Israel","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052449845","display_name":"Hadas Erel","orcid":"https://orcid.org/0000-0001-7099-6104"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hadas Erel","raw_affiliation_strings":["Reichman University,Media Innovation Lab,Israel","Media Innovation Lab, Reichman University, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Reichman University,Media Innovation Lab,Israel","institution_ids":[]},{"raw_affiliation_string":"Media Innovation Lab, Reichman University, Israel","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6626,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.84504505,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1598","last_page":"1605"},"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":0.9994999766349792,"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":0.9994999766349792,"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/T10462","display_name":"Reinforcement Learning in Robotics","score":0.9941999912261963,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9894000291824341,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.8020609021186829},{"id":"https://openalex.org/keywords/human\u2013robot-interaction","display_name":"Human\u2013robot interaction","score":0.6401480436325073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5633209347724915},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4989614486694336},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3754924237728119}],"concepts":[{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.8020609021186829},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.6401480436325073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5633209347724915},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4989614486694336},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3754924237728119}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ro-man53752.2022.9900673","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ro-man53752.2022.9900673","pdf_url":null,"source":{"id":"https://openalex.org/S4363607995","display_name":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","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":"2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","score":0.6200000047683716,"id":"https://metadata.un.org/sdg/5"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W639132055","https://openalex.org/W1498101430","https://openalex.org/W1545608014","https://openalex.org/W1853837125","https://openalex.org/W1951008065","https://openalex.org/W1975348168","https://openalex.org/W1982044027","https://openalex.org/W2006447892","https://openalex.org/W2012372995","https://openalex.org/W2023898780","https://openalex.org/W2035833057","https://openalex.org/W2060200729","https://openalex.org/W2064149108","https://openalex.org/W2092209293","https://openalex.org/W2132049110","https://openalex.org/W2161923363","https://openalex.org/W2229570659","https://openalex.org/W2339721090","https://openalex.org/W2477771363","https://openalex.org/W2621141770","https://openalex.org/W2749424389","https://openalex.org/W2760062370","https://openalex.org/W2780079276","https://openalex.org/W2788481061","https://openalex.org/W2791568830","https://openalex.org/W2795530988","https://openalex.org/W2796133875","https://openalex.org/W2886283492","https://openalex.org/W2888056875","https://openalex.org/W2891523786","https://openalex.org/W2913868386","https://openalex.org/W2916904544","https://openalex.org/W2922014115","https://openalex.org/W2942721282","https://openalex.org/W2946647999","https://openalex.org/W3000684207","https://openalex.org/W3004000488","https://openalex.org/W3008551301","https://openalex.org/W3030076837","https://openalex.org/W3041216465","https://openalex.org/W3046761449","https://openalex.org/W3108895775","https://openalex.org/W3111336095","https://openalex.org/W3134046199","https://openalex.org/W3134543599","https://openalex.org/W3150639857","https://openalex.org/W4213226808","https://openalex.org/W4230426274","https://openalex.org/W4287365906","https://openalex.org/W4294145056","https://openalex.org/W4312335224","https://openalex.org/W6632593487","https://openalex.org/W6748382702","https://openalex.org/W6764153165","https://openalex.org/W6772928121","https://openalex.org/W6789557622"],"related_works":["https://openalex.org/W2978665606","https://openalex.org/W4287179229","https://openalex.org/W3205513966","https://openalex.org/W3120459843","https://openalex.org/W4366547574","https://openalex.org/W3200191727","https://openalex.org/W189465620","https://openalex.org/W4366818884","https://openalex.org/W2248308732","https://openalex.org/W4392651289"],"abstract_inverted_index":{"With":[0],"recent":[1],"advancements":[2],"in":[3,13],"AI,":[4],"there":[5,50],"are":[6,31,37],"growing":[7],"concerns":[8],"about":[9,73],"human":[10,118,148],"biases":[11],"implemented":[12],"AI":[14,19],"decisions.":[15],"Threats":[16],"posed":[17],"by":[18,40,74],"bias":[20],"may":[21],"be":[22],"even":[23],"more":[24],"drastic":[25],"when":[26],"applied":[27],"to":[28,66,81,125],"robots":[29],"that":[30,54,111,138],"perceived":[32,46],"as":[33,47,144],"independent":[34],"entities":[35],"and":[36,49,92,129],"not":[38,100],"mediated":[39],"humans.":[41],"Furthermore,":[42],"technology":[43],"is":[44,51,115],"typically":[45],"objective":[48],"a":[52,82,86,106],"risk":[53],"people":[55],"will":[56],"embrace":[57],"its":[58],"decisions":[59,124],"without":[60],"considering":[61],"possible":[62],"biases.":[63],"In":[64],"order":[65],"understand":[67],"the":[68,102,112,122],"extent":[69],"of":[70,97],"threats":[71],"brought":[72],"such":[75],"biases,":[76],"we":[77],"evaluated":[78],"participants\u2019":[79],"responses":[80],"gender-biased":[83],"robot":[84],"mediating":[85],"debate":[87],"between":[88],"two":[89],"participants":[90,98],"(male":[91],"female).":[93],"The":[94],"vast":[95],"majority":[96],"did":[99],"associate":[101],"robot\u2019s":[103,113,123],"behavior":[104],"with":[105],"bias,":[107],"despite":[108],"being":[109],"informed":[110],"algorithm":[114],"based":[116],"on":[117],"examples.":[119],"Participants":[120],"attributed":[121],"their":[126],"own":[127],"performance":[128],"used":[130],"explanations":[131],"involving":[132],"gender":[133],"stereotypes.":[134,149],"Our":[135],"findings":[136],"suggest":[137],"robots\u2019":[139],"biased":[140],"behaviors":[141],"can":[142],"serve":[143],"validation":[145],"for":[146],"common":[147]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
