{"id":"https://openalex.org/W4403713328","doi":"https://doi.org/10.1145/3689062.3689085","title":"Modality Weights Based Fusion Model for Social Perception Prediction in Video, Audio, and Text","display_name":"Modality Weights Based Fusion Model for Social Perception Prediction in Video, Audio, and Text","publication_year":2024,"publication_date":"2024-10-23","ids":{"openalex":"https://openalex.org/W4403713328","doi":"https://doi.org/10.1145/3689062.3689085"},"language":"en","primary_location":{"id":"doi:10.1145/3689062.3689085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3689062.3689085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor","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/A5005128585","display_name":"Eunchae Lim","orcid":"https://orcid.org/0000-0003-3339-4192"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Eunchae Lim","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051718571","display_name":"Hei Cheon Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyeon-Ji Yang","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087619194","display_name":"Hyung-Jeong Yang","orcid":"https://orcid.org/0000-0003-3024-5060"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hyung-Jeong Yang","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100605822","display_name":"Soo-Hyung Kim","orcid":"https://orcid.org/0000-0003-3575-5035"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soo-Hyung Kim","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100656391","display_name":"Seungwon Kim","orcid":"https://orcid.org/0000-0003-4221-3058"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seungwon Kim","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019049830","display_name":"Ji-eun Shin","orcid":"https://orcid.org/0000-0002-3456-8599"},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ji-Eun Shin","raw_affiliation_strings":["Department of Psychology, Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of Psychology, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001064856","display_name":"Aera Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I111277659","display_name":"Chonnam National University","ror":"https://ror.org/05kzjxq56","country_code":"KR","type":"education","lineage":["https://openalex.org/I111277659"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Aera Kim","raw_affiliation_strings":["Department of AI Convergence, Chonnam National University, Gwangju, South Korea"],"affiliations":[{"raw_affiliation_string":"Department of AI Convergence, Chonnam National University, Gwangju, South Korea","institution_ids":["https://openalex.org/I111277659"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5005128585"],"corresponding_institution_ids":["https://openalex.org/I111277659"],"apc_list":null,"apc_paid":null,"fwci":1.1681,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78872381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"19"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11309","display_name":"Music and Audio Processing","score":0.9901000261306763,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.977400004863739,"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/T10860","display_name":"Speech and Audio Processing","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/modality","display_name":"Modality (human\u2013computer interaction)","score":0.7512089014053345},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6812435984611511},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5437418818473816},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.542809784412384},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5374755263328552},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.5027408599853516},{"id":"https://openalex.org/keywords/audio-visual","display_name":"Audio visual","score":0.4176604151725769},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.25689151883125305},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.1051548421382904},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.08462920784950256}],"concepts":[{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.7512089014053345},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6812435984611511},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5437418818473816},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.542809784412384},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5374755263328552},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.5027408599853516},{"id":"https://openalex.org/C3017588708","wikidata":"https://www.wikidata.org/wiki/Q758901","display_name":"Audio visual","level":2,"score":0.4176604151725769},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.25689151883125305},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.1051548421382904},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.08462920784950256},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3689062.3689085","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3689062.3689085","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th on Multimodal Sentiment Analysis Challenge and Workshop: Social Perception and Humor","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W647923021","https://openalex.org/W2466040671","https://openalex.org/W2914304175","https://openalex.org/W3084624816","https://openalex.org/W3163086403","https://openalex.org/W3176498053","https://openalex.org/W4200513358","https://openalex.org/W4288400169","https://openalex.org/W4289527362","https://openalex.org/W4372263897","https://openalex.org/W4385782081","https://openalex.org/W4389671215","https://openalex.org/W4391020222","https://openalex.org/W4403713301"],"related_works":["https://openalex.org/W2271369634","https://openalex.org/W3147472394","https://openalex.org/W2047100085","https://openalex.org/W2350550760","https://openalex.org/W578794879","https://openalex.org/W2625296515","https://openalex.org/W2385859805","https://openalex.org/W3137890128","https://openalex.org/W1984634519","https://openalex.org/W4245955731"],"abstract_inverted_index":{"Social":[0],"perception":[1],"is":[2,163],"a":[3,41,169],"crucial":[4],"psychological":[5],"concept":[6],"that":[7,104,118],"explains":[8],"how":[9],"we":[10,39,97],"understand":[11],"and":[12,15,28,34,65,89,151],"interpret":[13],"others":[14],"their":[16,113],"behaviors.":[17],"It":[18],"encompasses":[19],"the":[20,53,69,90,106,119,153,177],"complex":[21],"process":[22],"of":[23,92,108,155],"discerning":[24],"individual":[25],"characteristics,":[26],"intentions,":[27],"emotions,":[29],"significantly":[30],"influencing":[31],"social":[32,50,79,127,179],"interactions":[33],"decision-making.":[35],"In":[36],"this":[37],"paper,":[38],"propose":[40],"modality":[42,100,110,157],"weights":[43],"based":[44],"fusion":[45,102],"model":[46,61,94,121],"for":[47,125,158,171],"predicting":[48,176],"16":[49,78],"attributes":[51],"in":[52],"MuSe":[54],"2024":[55],"Challenge":[56],"subtask":[57],"MuSe-Perception.":[58],"The":[59],"proposed":[60,120],"utilizes":[62],"visual,":[63],"audio,":[64],"text":[66],"data":[67,150],"from":[68],"Chief":[70],"Executive":[71],"Officers'":[72],"(CEOs')":[73],"interviews":[74],"to":[75,112,133,165,167],"predict":[76],"these":[77,140],"attributes.":[80,160,180],"This":[81,161],"study":[82,162],"mainly":[83],"focuses":[84],"on":[85,139],"audio":[86,93],"feature":[87],"learning":[88,152],"cross-attention":[91],"outputs.":[95],"Furthermore,":[96],"develop":[98],"each":[99,109,156],"weight-based":[101],"network":[103],"combines":[105],"outputs":[107],"according":[111],"weights.":[114],"Experimental":[115],"results":[116],"show":[117],"achieved":[122],"competitive":[123],"performance":[124],"some":[126],"attributes,":[128],"but":[129],"there":[130],"were":[131],"limitations":[132],"attain":[134],"consistent":[135],"overall":[136],"performance.":[137],"Based":[138],"results,":[141],"future":[142],"work":[143],"includes":[144],"collecting":[145],"more":[146],"extended":[147],"CEO":[148],"video":[149],"importance":[154],"different":[159],"expected":[164],"contribute":[166],"developing":[168],"system":[170],"analyzing":[172],"investment":[173],"potential":[174],"by":[175],"CEOs'":[178]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-19T19:40:27.379048","created_date":"2025-10-10T00:00:00"}
