{"id":"https://openalex.org/W4414272420","doi":"https://doi.org/10.1109/ichms65439.2025.11154254","title":"AffectLLM: A Large Language Model for Rating the Affective Quality of Representations","display_name":"AffectLLM: A Large Language Model for Rating the Affective Quality of Representations","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4414272420","doi":"https://doi.org/10.1109/ichms65439.2025.11154254"},"language":"en","primary_location":{"id":"doi:10.1109/ichms65439.2025.11154254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms65439.2025.11154254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS)","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/A5011035701","display_name":"Abdallah Chehade","orcid":"https://orcid.org/0000-0002-7391-4028"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdallah Chehade","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Industrial and Manufacturing Systems Engineering,Dearborn,MI,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Industrial and Manufacturing Systems Engineering,Dearborn,MI,USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027784898","display_name":"Areen Alsaid","orcid":"https://orcid.org/0000-0003-2852-9750"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Areen Alsaid","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Industrial and Manufacturing Systems Engineering,Dearborn,MI,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Industrial and Manufacturing Systems Engineering,Dearborn,MI,USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066229747","display_name":"Caleb J. Siefert","orcid":"https://orcid.org/0000-0003-2255-2845"},"institutions":[{"id":"https://openalex.org/I4210130704","display_name":"University of Michigan\u2013Dearborn","ror":"https://ror.org/035wtm547","country_code":"US","type":"education","lineage":["https://openalex.org/I4210130704"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caleb Siefert","raw_affiliation_strings":["University of Michigan-Dearborn,Department of Psychology,Dearborn,MI,USA"],"affiliations":[{"raw_affiliation_string":"University of Michigan-Dearborn,Department of Psychology,Dearborn,MI,USA","institution_ids":["https://openalex.org/I4210130704"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061910980","display_name":"Barry Dauphin","orcid":"https://orcid.org/0000-0001-9965-4212"},"institutions":[{"id":"https://openalex.org/I71792333","display_name":"University of Detroit Mercy","ror":"https://ror.org/0037qsh65","country_code":"US","type":"education","lineage":["https://openalex.org/I71792333"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Barry Dauphin","raw_affiliation_strings":["University of Detroit Mercy,Department of Psychology,Detroit,MI,USA"],"affiliations":[{"raw_affiliation_string":"University of Detroit Mercy,Department of Psychology,Detroit,MI,USA","institution_ids":["https://openalex.org/I71792333"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5011035701"],"corresponding_institution_ids":["https://openalex.org/I4210130704"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27127785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"164","last_page":"167"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.227400004863739,"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/T13283","display_name":"Mental Health Research Topics","score":0.227400004863739,"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/generalization","display_name":"Generalization","score":0.6500999927520752},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6233000159263611},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5996999740600586},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.595300018787384},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.593999981880188},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5867999792098999},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.5002999901771545}],"concepts":[{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6500999927520752},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6233000159263611},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.6085000038146973},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5996999740600586},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.595300018787384},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.593999981880188},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5867999792098999},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5396000146865845},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.5002999901771545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4494999945163727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3846000134944916},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3702000081539154},{"id":"https://openalex.org/C71611378","wikidata":"https://www.wikidata.org/wiki/Q5165191","display_name":"Contextual design","level":3,"score":0.34389999508857727},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3409000039100647},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.32280001044273376},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.322299987077713},{"id":"https://openalex.org/C76188268","wikidata":"https://www.wikidata.org/wiki/Q1783165","display_name":"Context effect","level":3,"score":0.3183000087738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2847999930381775},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.28369998931884766},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2687999904155731},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ichms65439.2025.11154254","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ichms65439.2025.11154254","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 5th International Conference on Human-Machine Systems (ICHMS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1939867102","https://openalex.org/W1965827191","https://openalex.org/W2001097956","https://openalex.org/W2183722158","https://openalex.org/W2408449330","https://openalex.org/W2949876691","https://openalex.org/W3016554306","https://openalex.org/W4244882336","https://openalex.org/W4312576394","https://openalex.org/W4315705449","https://openalex.org/W4318461564","https://openalex.org/W4319303149","https://openalex.org/W4389559793"],"related_works":[],"abstract_inverted_index":{"Affective":[0,79],"computing":[1],"presents":[2],"significant":[3],"challenges,":[4],"particularly":[5],"in":[6,47],"the":[7,28,61,78,137,151,169],"context":[8],"of":[9,31,63,81,104,120,153,159,171],"human-machine":[10,154],"interactions.":[11,155],"Traditional":[12],"approaches":[13],"often":[14],"involve":[15],"developing":[16],"data-driven":[17],"models":[18,39],"that":[19,66,166,175],"rely":[20],"on":[21,126],"physiological":[22],"and":[23,44,149],"image-based":[24],"data":[25],"to":[26,60,144],"infer":[27],"emotional":[29],"states":[30],"individuals":[32],"during":[33],"interactions":[34],"with":[35],"machines.":[36],"However,":[37],"these":[38,73],"frequently":[40],"lack":[41],"contextual":[42],"relevance":[43],"perform":[45],"poorly":[46],"complex":[48],"scenarios":[49],"involving":[50],"conflicting":[51],"cues.":[52],"Additionally,":[53],"they":[54],"suffer":[55],"from":[56,101],"weak":[57],"generalization":[58],"due":[59],"absence":[62],"structured":[64,164],"methodologies":[65],"disentangle":[67],"interconnected":[68],"external":[69],"factors.":[70],"To":[71,132],"address":[72],"limitations,":[74],"we":[75,135],"propose":[76],"leveraging":[77],"Quality":[80],"Representations":[82],"(AFF)":[83],"score,":[84],"a":[85,139,163],"standardized":[86],"metric":[87,165],"for":[88,130],"assessing":[89],"human":[90],"affective":[91],"responses":[92],"across":[93],"varied":[94],"contexts.":[95],"The":[96,117],"AFF":[97,146],"score":[98],"is":[99,123,161],"derived":[100],"expert":[102],"ratings":[103],"participant":[105],"narratives":[106],"elicited":[107],"by":[108],"questions":[109],"or":[110],"visual":[111],"cards,":[112],"following":[113],"established":[114],"SCORS-G":[115],"guidelines.":[116],"primary":[118],"challenge":[119],"this":[121],"approach":[122],"its":[124],"reliance":[125],"trained":[127],"psychology":[128],"experts":[129],"scoring.":[131],"mitigate":[133],"this,":[134],"developed":[136],"AffectLLM,":[138],"large":[140],"language":[141],"model":[142],"designed":[143],"predict":[145],"scores":[147],"efficiently":[148],"support":[150],"analysis":[152],"A":[156],"strong":[157],"contribution":[158],"AffectLLM":[160],"providing":[162],"can":[167],"guide":[168],"design":[170],"humanmachine":[172],"interaction":[173],"environments":[174],"promote":[176],"more":[177],"positive":[178],"affect":[179],"quality":[180],"outcomes.":[181]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}