{"id":"https://openalex.org/W4390905742","doi":"https://doi.org/10.1109/aciiw59127.2023.10388194","title":"Investigating Large Language Models\u2019 Perception of Emotion Using Appraisal Theory","display_name":"Investigating Large Language Models\u2019 Perception of Emotion Using Appraisal Theory","publication_year":2023,"publication_date":"2023-09-10","ids":{"openalex":"https://openalex.org/W4390905742","doi":"https://doi.org/10.1109/aciiw59127.2023.10388194"},"language":"en","primary_location":{"id":"doi:10.1109/aciiw59127.2023.10388194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aciiw59127.2023.10388194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5014696678","display_name":"Nutchanon Yongsatianchot","orcid":"https://orcid.org/0000-0003-1332-0727"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nutchanon Yongsatianchot","raw_affiliation_strings":["Northeastern University,Khoury College of Computer Science,Massachusetts,USA","Khoury College of Computer Science, Northeastern University, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Khoury College of Computer Science,Massachusetts,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Khoury College of Computer Science, Northeastern University, Massachusetts, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093020814","display_name":"Parisa Ghanad Torshizi","orcid":"https://orcid.org/0009-0006-6681-1932"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parisa Ghanad Torshizi","raw_affiliation_strings":["Northeastern University,Khoury College of Computer Science,Massachusetts,USA","Khoury College of Computer Science, Northeastern University, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Khoury College of Computer Science,Massachusetts,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Khoury College of Computer Science, Northeastern University, Massachusetts, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058433199","display_name":"Stacy Marsella","orcid":"https://orcid.org/0000-0002-5711-7934"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Stacy Marsella","raw_affiliation_strings":["Northeastern University,Khoury College of Computer Science,Massachusetts,USA","Khoury College of Computer Science, Northeastern University, Massachusetts, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northeastern University,Khoury College of Computer Science,Massachusetts,USA","institution_ids":["https://openalex.org/I12912129"]},{"raw_affiliation_string":"Khoury College of Computer Science, Northeastern University, Massachusetts, USA","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":3.1693,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.94198623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9973999857902527,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9973999857902527,"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"}},{"id":"https://openalex.org/T12313","display_name":"Emotions and Moral Behavior","score":0.9958999752998352,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9883000254631042,"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/perception","display_name":"Perception","score":0.6804414391517639},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125668287277222},{"id":"https://openalex.org/keywords/appraisal-theory","display_name":"Appraisal theory","score":0.5123754739761353},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46789729595184326},{"id":"https://openalex.org/keywords/cognitive-science","display_name":"Cognitive science","score":0.40587297081947327},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.39185312390327454},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3579689860343933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3442748486995697},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.11747923493385315},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.0705934464931488}],"concepts":[{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6804414391517639},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125668287277222},{"id":"https://openalex.org/C4308109","wikidata":"https://www.wikidata.org/wiki/Q4781686","display_name":"Appraisal theory","level":2,"score":0.5123754739761353},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46789729595184326},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.40587297081947327},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.39185312390327454},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3579689860343933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3442748486995697},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.11747923493385315},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0705934464931488}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/aciiw59127.2023.10388194","is_oa":false,"landing_page_url":"https://doi.org/10.1109/aciiw59127.2023.10388194","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W282411369","https://openalex.org/W1594303435","https://openalex.org/W1973919178","https://openalex.org/W2062005084","https://openalex.org/W2109474021","https://openalex.org/W2149628368","https://openalex.org/W2508043037","https://openalex.org/W2802975219","https://openalex.org/W3045936054","https://openalex.org/W4226278401","https://openalex.org/W4233973055","https://openalex.org/W4251591997","https://openalex.org/W4292779060","https://openalex.org/W4313384047","https://openalex.org/W4318919287","https://openalex.org/W4360836968","https://openalex.org/W4362707064","https://openalex.org/W4385573216","https://openalex.org/W4388252364","https://openalex.org/W6610254006","https://openalex.org/W6778883912","https://openalex.org/W6810738896","https://openalex.org/W6850936240","https://openalex.org/W6851960618","https://openalex.org/W7062100370"],"related_works":["https://openalex.org/W2345695366","https://openalex.org/W2393521955","https://openalex.org/W2288422072","https://openalex.org/W2378104489","https://openalex.org/W2628861693","https://openalex.org/W2378337101","https://openalex.org/W1546861565","https://openalex.org/W2388361082","https://openalex.org/W3203087560","https://openalex.org/W2087303720"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLM)":[3],"like":[4],"ChatGPT":[5],"have":[6],"significantly":[7],"advanced":[8],"in":[9,86,131,167],"recent":[10,100],"years":[11],"and":[12,59,65,84,93,106,108,118,137,154,181,199],"are":[13,127,184],"now":[14],"being":[15],"used":[16],"by":[17,151],"the":[18,55,63,110,115,152,190,194,205],"general":[19],"public.":[20],"As":[21],"more":[22],"people":[23],"interact":[24],"with":[25,112],"these":[26,32],"systems,":[27],"improving":[28],"our":[29,202],"understanding":[30,41,203],"of":[31,42,57,77,133,135,158,197,204],"black":[33],"box":[34],"models":[35],"is":[36,71,161],"crucial,":[37],"especially":[38],"regarding":[39],"their":[40,51,140,159],"human":[43,119],"psychological":[44,195],"aspects.":[45],"In":[46],"this":[47],"work,":[48],"we":[49],"investigate":[50],"emotion":[52],"perception":[53],"through":[54],"lens":[56],"appraisal":[58,88,116,136,147],"coping":[60],"theory":[61,117,153],"using":[62],"Stress":[64],"Coping":[66],"Process":[67],"Questionaire":[68],"(SCPQ).":[69],"SCPQ":[70,97],"a":[72],"validated":[73],"clinical":[74],"instrument":[75],"consisting":[76],"multiple":[78],"stories":[79],"that":[80,124,173],"evolve":[81],"over":[82],"time":[83],"differ":[85,144],"key":[87,146],"variables":[89],"such":[90],"as":[91,149],"controllability":[92],"changeability.":[94],"We":[95,170],"applied":[96],"to":[98,129,179,189],"three":[99],"LLMs":[101,198],"from":[102,114,165],"OpenAI,":[103],"davinci-003,":[104],"ChatGPT,":[105],"GPT-4":[107],"compared":[109],"results":[111,122],"predictions":[113],"data.":[120,155],"The":[121,156],"show":[123],"LLMs\u2019":[125],"responses":[126,141,160],"similar":[128],"humans":[130,166],"terms":[132],"dynamics":[134],"coping,":[138],"but":[139],"did":[142],"not":[143],"along":[145],"dimensions":[148],"predicted":[150],"magnitude":[157],"also":[162,171],"quite":[163,177],"different":[164],"several":[168],"variables.":[169],"found":[172],"GPTs":[174],"can":[175],"be":[176],"sensitive":[178],"instruction":[180],"how":[182],"questions":[183],"asked.":[185],"This":[186],"work":[187],"adds":[188],"growing":[191],"literature":[192],"evaluating":[193],"aspects":[196],"helps":[200],"enrich":[201],"current":[206],"models.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
