{"id":"https://openalex.org/W4214884471","doi":"https://doi.org/10.1109/taffc.2022.3155604","title":"Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation","display_name":"Effects of Physiological Signals in Different Types of Multimodal Sentiment Estimation","publication_year":2022,"publication_date":"2022-03-03","ids":{"openalex":"https://openalex.org/W4214884471","doi":"https://doi.org/10.1109/taffc.2022.3155604"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2022.3155604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3155604","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-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/A5079648062","display_name":"Shun Katada","orcid":"https://orcid.org/0000-0003-3241-4470"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shun Katada","raw_affiliation_strings":["School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan"],"raw_orcid":"https://orcid.org/0000-0003-3241-4470","affiliations":[{"raw_affiliation_string":"School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080920610","display_name":"Shogo Okada","orcid":"https://orcid.org/0000-0002-9260-0403"},"institutions":[{"id":"https://openalex.org/I177738480","display_name":"Japan Advanced Institute of Science and Technology","ror":"https://ror.org/03frj4r98","country_code":"JP","type":"education","lineage":["https://openalex.org/I177738480"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shogo Okada","raw_affiliation_strings":["School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan"],"raw_orcid":"https://orcid.org/0000-0002-9260-0403","affiliations":[{"raw_affiliation_string":"School of Information Science, Japan Advanced Institute of Science and Technology (JAIST), Ishikawa, Japan","institution_ids":["https://openalex.org/I177738480"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049614400","display_name":"Kazunori Komatani","orcid":"https://orcid.org/0000-0002-6052-600X"},"institutions":[{"id":"https://openalex.org/I4210138169","display_name":"Osaka Research Institute of Industrial Science and Technology","ror":"https://ror.org/03r38cy24","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210138169"]},{"id":"https://openalex.org/I98285908","display_name":"The University of Osaka","ror":"https://ror.org/035t8zc32","country_code":"JP","type":"education","lineage":["https://openalex.org/I98285908"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazunori Komatani","raw_affiliation_strings":["Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan"],"raw_orcid":"https://orcid.org/0000-0002-6052-600X","affiliations":[{"raw_affiliation_string":"Institute of Scientific and Industrial Research (SANKEN), Osaka University, Osaka, Japan","institution_ids":["https://openalex.org/I4210138169","https://openalex.org/I98285908"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.6165,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.94994349,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"14","issue":"3","first_page":"2443","last_page":"2457"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9987999796867371,"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":0.9987999796867371,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9921000003814697,"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/T12032","display_name":"Multisensory perception and integration","score":0.9653000235557556,"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/unobservable","display_name":"Unobservable","score":0.7557190656661987},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.682837963104248},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6702361106872559},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6298503875732422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6067831516265869},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5243558883666992},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.44053107500076294},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4241520166397095},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4211075007915497},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3688165545463562},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3646717071533203},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15479037165641785},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.14727193117141724},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.13705068826675415}],"concepts":[{"id":"https://openalex.org/C2780695315","wikidata":"https://www.wikidata.org/wiki/Q3799040","display_name":"Unobservable","level":2,"score":0.7557190656661987},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.682837963104248},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6702361106872559},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6298503875732422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6067831516265869},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5243558883666992},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.44053107500076294},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4241520166397095},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4211075007915497},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3688165545463562},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3646717071533203},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15479037165641785},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.14727193117141724},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.13705068826675415},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taffc.2022.3155604","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2022.3155604","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Affective Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":70,"referenced_works":["https://openalex.org/W165283731","https://openalex.org/W1501669607","https://openalex.org/W1563088657","https://openalex.org/W1603436526","https://openalex.org/W1832693441","https://openalex.org/W1975408748","https://openalex.org/W2008821584","https://openalex.org/W2045528981","https://openalex.org/W2071559616","https://openalex.org/W2080563528","https://openalex.org/W2098689807","https://openalex.org/W2120945046","https://openalex.org/W2122098299","https://openalex.org/W2122563357","https://openalex.org/W2132555391","https://openalex.org/W2146334809","https://openalex.org/W2150150736","https://openalex.org/W2151942619","https://openalex.org/W2153962611","https://openalex.org/W2164368909","https://openalex.org/W2187036766","https://openalex.org/W2187089797","https://openalex.org/W2251939518","https://openalex.org/W2290844432","https://openalex.org/W2324140981","https://openalex.org/W2346454595","https://openalex.org/W2492294785","https://openalex.org/W2492893994","https://openalex.org/W2555691756","https://openalex.org/W2556418146","https://openalex.org/W2584561145","https://openalex.org/W2619383789","https://openalex.org/W2724979498","https://openalex.org/W2731964405","https://openalex.org/W2753840835","https://openalex.org/W2807126412","https://openalex.org/W2883409523","https://openalex.org/W2896457183","https://openalex.org/W2901843047","https://openalex.org/W2953127026","https://openalex.org/W2962739339","https://openalex.org/W2964010806","https://openalex.org/W2975657471","https://openalex.org/W2980479057","https://openalex.org/W2980813192","https://openalex.org/W2993843842","https://openalex.org/W2995034616","https://openalex.org/W2995572744","https://openalex.org/W3093539638","https://openalex.org/W3093865413","https://openalex.org/W3132077032","https://openalex.org/W3135896743","https://openalex.org/W3155683087","https://openalex.org/W3213498212","https://openalex.org/W4211072278","https://openalex.org/W4211153864","https://openalex.org/W4292910350","https://openalex.org/W4292994367","https://openalex.org/W4297801177","https://openalex.org/W4385245566","https://openalex.org/W6606787761","https://openalex.org/W6640595892","https://openalex.org/W6691459498","https://openalex.org/W6696911505","https://openalex.org/W6739901393","https://openalex.org/W6748304040","https://openalex.org/W6753277404","https://openalex.org/W6755207826","https://openalex.org/W6791584615","https://openalex.org/W7046037060"],"related_works":["https://openalex.org/W2614563012","https://openalex.org/W4293337373","https://openalex.org/W1968533609","https://openalex.org/W2486803649","https://openalex.org/W1984270607","https://openalex.org/W2151842462","https://openalex.org/W2349333549","https://openalex.org/W2116445905","https://openalex.org/W3146555839","https://openalex.org/W2261568587"],"abstract_inverted_index":{"Multimodal":[0],"sentiment":[1,17,69,82,140,180],"analysis":[2,18,70,166],"has":[3,51],"become":[4],"a":[5,145],"focus":[6],"of":[7,15,38,42,64,74,81,105,130,167],"research":[8],"in":[9,67,84,97,148,179],"recent":[10],"years.":[11],"However,":[12],"most":[13],"studies":[14],"multimodal":[16,40,68],"have":[19],"considered":[20],"only":[21],"signals":[22,44,66,158],"that":[23,92,102,159,173],"are":[24,95,160,185],"observable":[25,161],"by":[26,71,121,144,162],"humans,":[27],"such":[28,43],"as":[29,119,142],"linguistic,":[30],"audio":[31],"and":[32,101,182],"visual":[33],"information,":[34],"whereas":[35],"the":[36,39,75,98,103,112,122,127,156,168],"contribution":[37],"fusion":[41,76,104,129],"with":[45,108,133],"unobservable":[46],"signals,":[47,50],"i.e.,":[48],"physiological":[49,65,93,109],"not":[52],"been":[53],"comprehensively":[54],"explored.":[55],"In":[56,125],"this":[57],"study,":[58],"we":[59],"aim":[60],"to":[61],"investigate":[62],"effects":[63],"evaluating":[72],"all":[73],"models":[77],"for":[78,115,138],"different":[79,174,177],"types":[80],"estimation":[83,170],"naturalistic":[85],"human-agent":[86],"interaction":[87],"settings.":[88],"Our":[89],"results":[90,114,171],"suggest":[91],"features":[94,110,135],"effective":[96,137],"unimodal":[99],"model":[100],"linguistic":[106,131],"representations":[107,132],"provides":[111],"best":[113],"estimating":[116,139],"self-sentiment":[117,169],"labels":[118,141],"annotated":[120,143],"users":[123],"themselves.":[124],"contrast,":[126],"tensor":[128],"audiovisual":[134],"is":[136],"third":[146],"party":[147],"regression":[149],"tasks,":[150],"which":[151],"can":[152],"be":[153],"derived":[154],"from":[155],"corresponding":[157,183],"humans.":[163],"A":[164],"detailed":[165],"suggests":[172],"modalities":[175],"play":[176],"roles":[178],"estimation,":[181],"implications":[184],"discussed.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}