{"id":"https://openalex.org/W7161825397","doi":"https://doi.org/10.48550/arxiv.2605.19798","title":"Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMs","display_name":"Towards Trust Calibration in Socially Interactive Agents: Investigating Gendered Multimodal Behaviors Generation with LLMs","publication_year":2026,"publication_date":"2026-05-19","ids":{"openalex":"https://openalex.org/W7161825397","doi":"https://doi.org/10.48550/arxiv.2605.19798"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.19798","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.19798","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052220454","display_name":"Lucie Galland","orcid":"https://orcid.org/0000-0003-4682-6011"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Galland, Lucie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136599623","display_name":"Chlo\u00e9 Clavel","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Clavel, Chlo\u00e9","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5081791777","display_name":"Magalie Ochs","orcid":"https://orcid.org/0000-0001-7919-5688"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ochs, Magalie","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.5054000020027161,"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"}},"topics":[{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.5054000020027161,"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":0.1949000060558319,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.04349999874830246,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6473000049591064},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5273000001907349},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5044999718666077},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.492000013589859},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.36550000309944153},{"id":"https://openalex.org/keywords/human-behavior","display_name":"Human behavior","score":0.361299991607666},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.3474999964237213}],"concepts":[{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6473000049591064},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5273000001907349},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5044999718666077},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5034999847412109},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.492000013589859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46320000290870667},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.4569999873638153},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.42800000309944153},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39010000228881836},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.36550000309944153},{"id":"https://openalex.org/C117035363","wikidata":"https://www.wikidata.org/wiki/Q3769299","display_name":"Human behavior","level":2,"score":0.361299991607666},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.3474999964237213},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.2969000041484833},{"id":"https://openalex.org/C130064352","wikidata":"https://www.wikidata.org/wiki/Q853725","display_name":"Social relation","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C131158328","wikidata":"https://www.wikidata.org/wiki/Q1307337","display_name":"Social influence","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.2752000093460083},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.2734000086784363},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.2694999873638153},{"id":"https://openalex.org/C21204594","wikidata":"https://www.wikidata.org/wiki/Q921513","display_name":"Social behavior","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.262800008058548},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2615000009536743},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2572000026702881}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.19798","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.19798","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.19798","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"score":0.7370429635047913,"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":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"As":[0],"Socially":[1],"Interactive":[2],"Agents":[3],"(SIAs)":[4],"become":[5],"increasingly":[6],"integrated":[7],"into":[8],"daily":[9],"life,":[10],"the":[11,35,130,151,198,203],"ability":[12,58,138,166,194],"to":[13,17,42,108,155],"calibrate":[14],"user":[15,181],"trust":[16],"an":[18],"agent's":[19],"actual":[20],"capabilities":[21],"would":[22],"help":[23],"ensure":[24],"appropriate":[25],"usage":[26],"of":[27,37,57,64,79,96,193],"these":[28,80],"agents.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33,102,127,142,178],"explore":[34],"capacity":[36],"Large":[38],"Language":[39],"Models":[40],"(LLMs)":[41],"generate":[43],"multimodal":[44,97],"behaviors":[45,74,132,163,170,200],"(verbal,":[46],"vocal,":[47],"gestural,":[48],"and":[49,59,88,119,139,167,195],"facial":[50,117],"expression":[51],"modalities)":[52],"that":[53,104,129,145],"reflect":[54],"varying":[55],"levels":[56,78,192],"benevolence,":[60],"two":[61],"key":[62],"dimensions":[63],"trustworthiness.":[65],"We":[66],"propose":[67],"a":[68,82,93,180,186],"novel":[69],"method":[70],"for":[71,137],"automatically":[72],"generating":[73],"aligned":[75],"with":[76,134,164,171,202],"specific":[77],"traits,":[81],"first":[83],"step":[84],"towards":[85],"enabling":[86],"nuanced":[87],"trust-calibrated":[89],"interactions.":[90],"By":[91],"analyzing":[92],"large":[94],"dataset":[95],"transcripts":[98],"generated":[99,131,199],"by":[100],"LLMs,":[101],"demonstrate":[103],"GPT-5.4":[105],"is":[106,148],"able":[107],"produce":[109],"coherent":[110],"behavior":[111],"across":[112],"different":[113,191],"modalities":[114],"(text,":[115],"intonation,":[116],"expression,":[118],"gesture).":[120],"Using":[121],"Random":[122],"Forest":[123],"feature":[124],"importance":[125],"analysis,":[126],"show":[128],"align":[133,201],"theoretical":[135],"expectations":[136],"benevolence.":[140,173],"However,":[141],"also":[143],"find":[144],"when":[146],"gender":[147,158],"specified":[149],"in":[150,197],"prompt,":[152],"LLMs":[153],"tend":[154],"reproduce":[156],"societal":[157],"stereotypes,":[159],"associating":[160],"male":[161],"agents'":[162,169],"high":[165,172],"female":[168],"To":[174],"validate":[175],"our":[176],"approach,":[177],"conducted":[179],"study":[182],"on":[183],"Prolific":[184],"using":[185],"within-subjects":[187],"design.":[188],"Participants":[189],"perceived":[190],"benevolence":[196],"intended":[204],"instructions.":[205]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-05-21T00:00:00"}
