{"id":"https://openalex.org/W2786531388","doi":"https://doi.org/10.1109/acii.2017.8273577","title":"Computational model of idiosyncratic perception of others' emotions","display_name":"Computational model of idiosyncratic perception of others' emotions","publication_year":2017,"publication_date":"2017-10-01","ids":{"openalex":"https://openalex.org/W2786531388","doi":"https://doi.org/10.1109/acii.2017.8273577","mag":"2786531388"},"language":"en","primary_location":{"id":"doi:10.1109/acii.2017.8273577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2017.8273577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)","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/A5059300000","display_name":"Shiro Kumano","orcid":"https://orcid.org/0000-0002-1231-5566"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shiro Kumano","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101707624","display_name":"Ryo Ishii","orcid":"https://orcid.org/0009-0001-3849-1656"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ryo Ishii","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014373252","display_name":"Kazuhiro Otsuka","orcid":"https://orcid.org/0000-0003-4352-3955"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Otsuka","raw_affiliation_strings":["NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Nippon Telegraph and Telephone Corporation, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":0.5703,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.72493477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"25","issue":null,"first_page":"42","last_page":"49"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.989799976348877,"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":0.989799976348877,"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/T14394","display_name":"Cognitive Science and Education Research","score":0.9693999886512756,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T13283","display_name":"Mental Health Research Topics","score":0.9448000192642212,"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/observer","display_name":"Observer (physics)","score":0.7656021118164062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5923874974250793},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5656031370162964},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46257853507995605},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.45827412605285645},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.44347214698791504},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4276452958583832},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4119926691055298},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.37966832518577576},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3258334696292877}],"concepts":[{"id":"https://openalex.org/C2780704645","wikidata":"https://www.wikidata.org/wiki/Q9251458","display_name":"Observer (physics)","level":2,"score":0.7656021118164062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5923874974250793},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5656031370162964},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46257853507995605},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.45827412605285645},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.44347214698791504},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4276452958583832},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4119926691055298},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.37966832518577576},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3258334696292877},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acii.2017.8273577","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2017.8273577","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 Seventh International Conference on Affective Computing and Intelligent Interaction (ACII)","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":42,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W37958409","https://openalex.org/W137420995","https://openalex.org/W349770100","https://openalex.org/W1261896931","https://openalex.org/W1506806321","https://openalex.org/W1531773291","https://openalex.org/W1541280084","https://openalex.org/W1785074626","https://openalex.org/W1873057782","https://openalex.org/W1918539772","https://openalex.org/W1976725440","https://openalex.org/W1983703866","https://openalex.org/W2002055708","https://openalex.org/W2005885879","https://openalex.org/W2025905516","https://openalex.org/W2038199522","https://openalex.org/W2044861419","https://openalex.org/W2056133024","https://openalex.org/W2064546601","https://openalex.org/W2086618114","https://openalex.org/W2087652715","https://openalex.org/W2096320828","https://openalex.org/W2103184652","https://openalex.org/W2115011265","https://openalex.org/W2122098299","https://openalex.org/W2143662509","https://openalex.org/W2145598468","https://openalex.org/W2146334809","https://openalex.org/W2149273804","https://openalex.org/W2153480757","https://openalex.org/W2156503193","https://openalex.org/W2159190230","https://openalex.org/W2181873835","https://openalex.org/W2324758806","https://openalex.org/W2548171908","https://openalex.org/W2734163268","https://openalex.org/W4235488022","https://openalex.org/W6601522858","https://openalex.org/W6611762666","https://openalex.org/W6628256265","https://openalex.org/W6682171051"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W2343819364","https://openalex.org/W2133205540","https://openalex.org/W2562263695","https://openalex.org/W2135187896","https://openalex.org/W2147201983","https://openalex.org/W2015518264","https://openalex.org/W2795035211","https://openalex.org/W2160108762","https://openalex.org/W2017034551"],"abstract_inverted_index":{"This":[0],"paper":[1],"deals":[2],"with":[3,27,57,123,170],"computational":[4],"modelling":[5,155],"for":[6],"predicting":[7],"the":[8,21,33,42,46,58,68,87,108,112,116],"idiosyncratic":[9],"perception":[10],"of":[11,24,39,60,164,188],"others'":[12],"emotions,":[13],"namely":[14],"how":[15,91],"individual":[16,37],"external":[17],"observers":[18,125,180],"will":[19],"score":[20],"emotional":[22],"states":[23],"others":[25],"interacting":[26],"each":[28],"other.":[29],"We":[30],"separately":[31],"model":[32,184],"observer":[34,65,117,148,172],"effect":[35,44,48],"(or":[36],"differences":[38],"observers),":[40],"and":[41,78,118,126,143,149,151,173,181],"conversational-scene":[43],"or":[45],"video-clip":[47],"(how":[49],"interlocutors":[50],"are":[51],"interacting),":[52],"based":[53],"on":[54],"Bayes'":[55],"theorem":[56],"assumption":[59],"their":[61],"conditional":[62,113],"independence.":[63],"The":[64,101],"term":[66,89],"describes":[67,90],"observer's":[69],"cognitive":[70],"tendency,":[71],"including":[72],"bias,":[73],"in":[74,130,139,192],"a":[75,92,131,157,162,193],"probabilistic":[76],"form,":[77],"does":[79],"not":[80],"include":[81],"any":[82],"clip":[83,88,94,174],"information.":[84],"In":[85],"contrast,":[86],"target":[93,119],"is":[95,104,138],"recognized":[96],"by":[97],"an":[98,186],"unspecified":[99],"observer.":[100],"perceived":[102],"emotion":[103],"predicted":[105],"to":[106],"be":[107],"state":[109],"that":[110,135,176],"maximizes":[111],"probability":[114],"given":[115],"clip.":[120],"An":[121],"experiment":[122],"100":[124],"97":[127,158],"clips":[128],"demonstrated,":[129],"leave-one-out":[132],"cross-validation":[133,197],"scenario,":[134],"1)":[136],"there":[137],"fact":[140],"no":[141],"statistically":[142],"practically":[144],"significant":[145],"interaction":[146],"between":[147],"clip,":[150],"2)":[152],"our":[153,183],"Bayesian":[154],"achieves":[156],"percent":[159,191],"accuracy":[160,187],"as":[161],"reference":[163],"test-retest":[165],"reliability.":[166],"Furthermore,":[167],"when":[168],"combined":[169],"existing":[171],"models":[175],"can":[177],"handle":[178],"unknown":[179],"clips,":[182],"yielded":[185],"around":[189],"50":[190],"more":[194],"challenging":[195],"leave-one-subject-and-clip-out":[196],"scenario.":[198]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
