{"id":"https://openalex.org/W4417296281","doi":"https://doi.org/10.1145/3757374.3771514","title":"Emotion-Aware Autonomous Driving: A VR-Based Multimodal Analysis Using Gaze and Physiological Signals","display_name":"Emotion-Aware Autonomous Driving: A VR-Based Multimodal Analysis Using Gaze and Physiological Signals","publication_year":2025,"publication_date":"2025-12-13","ids":{"openalex":"https://openalex.org/W4417296281","doi":"https://doi.org/10.1145/3757374.3771514"},"language":null,"primary_location":{"id":"doi:10.1145/3757374.3771514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3757374.3771514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGGRAPH Asia 2025 Posters","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/A5086973050","display_name":"Mi Chang","orcid":"https://orcid.org/0000-0002-6699-076X"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Mi Chang","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-6699-076X","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102897638","display_name":"Jongwon Han","orcid":"https://orcid.org/0009-0004-7842-1611"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jiwoo Han","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0009-0004-7842-1611","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386553","display_name":"Woojin Kim","orcid":"https://orcid.org/0000-0001-9589-784X"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Woojin Kim","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-9589-784X","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057539311","display_name":"Daesub Yoon","orcid":"https://orcid.org/0000-0002-2442-0080"},"institutions":[{"id":"https://openalex.org/I142401562","display_name":"Electronics and Telecommunications Research Institute","ror":"https://ror.org/03ysstz10","country_code":"KR","type":"facility","lineage":["https://openalex.org/I142401562","https://openalex.org/I2801339556","https://openalex.org/I4210144908","https://openalex.org/I4387152098"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daesub Yoon","raw_affiliation_strings":["Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-2442-0080","affiliations":[{"raw_affiliation_string":"Electronics and Telecommunications Research Institute (ETRI), Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I142401562"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5086973050"],"corresponding_institution_ids":["https://openalex.org/I142401562"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.4074609,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.6518999934196472,"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":0.6518999934196472,"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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.0957999974489212,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.08380000293254852,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/gaze","display_name":"Gaze","score":0.7229999899864197},{"id":"https://openalex.org/keywords/virtual-reality","display_name":"Virtual reality","score":0.5335999727249146},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.4438999891281128},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4253999888896942},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.4251999855041504},{"id":"https://openalex.org/keywords/multimodal-interaction","display_name":"Multimodal interaction","score":0.37059998512268066},{"id":"https://openalex.org/keywords/multimodality","display_name":"Multimodality","score":0.3682999908924103}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.7229999899864197},{"id":"https://openalex.org/C194969405","wikidata":"https://www.wikidata.org/wiki/Q170519","display_name":"Virtual reality","level":2,"score":0.5335999727249146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.527899980545044},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.482699990272522},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4449999928474426},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.4438999891281128},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4253999888896942},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.4251999855041504},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.38029998540878296},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.37059998512268066},{"id":"https://openalex.org/C2780910867","wikidata":"https://www.wikidata.org/wiki/Q1952416","display_name":"Multimodality","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3517000079154968},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.2847999930381775},{"id":"https://openalex.org/C145460709","wikidata":"https://www.wikidata.org/wiki/Q859951","display_name":"Human\u2013robot interaction","level":3,"score":0.275299996137619},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.2685999870300293},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C150303390","wikidata":"https://www.wikidata.org/wiki/Q1983852","display_name":"Virtual actor","level":3,"score":0.26030001044273376},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25780001282691956},{"id":"https://openalex.org/C2780660688","wikidata":"https://www.wikidata.org/wiki/Q25052564","display_name":"Multimodal learning","level":2,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3757374.3771514","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3757374.3771514","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the SIGGRAPH Asia 2025 Posters","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":3,"referenced_works":["https://openalex.org/W3029812539","https://openalex.org/W4213447076","https://openalex.org/W4389314061"],"related_works":[],"abstract_inverted_index":{"While":[0],"autonomous":[1,20,66],"driving":[2,31,67],"technology":[3],"continues":[4],"to":[5],"advance,":[6],"understanding":[7],"passengers\u2019":[8],"emotional":[9,59],"experiences":[10],"remains":[11],"limited.":[12],"This":[13],"study":[14],"examines":[15],"emotion":[16],"recognition":[17],"in":[18,56],"fully":[19],"scenarios":[21],"using":[22],"a":[23],"virtual":[24],"reality":[25],"(VR)":[26],"simulation":[27],"with":[28],"two":[29,47],"contrasting":[30],"styles\u2014":[32],"Calm":[33],"and":[34,42],"Tense.":[35],"Multimodal":[36],"data":[37],"analysis":[38],"revealed":[39],"significant":[40],"behavioral":[41],"physiological":[43],"differences":[44],"between":[45],"the":[46,62],"modes.":[48],"A":[49],"Random":[50],"Forest":[51],"classifier":[52],"achieved":[53],"97.1%":[54],"accuracy":[55],"distinguishing":[57],"passenger":[58],"states,":[60],"demonstrating":[61],"feasibility":[63],"of":[64],"emotionaware":[65],"systems.":[68]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-12-13T00:00:00"}
