{"id":"https://openalex.org/W4225329021","doi":"https://doi.org/10.1109/icassp43922.2022.9747779","title":"Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection","display_name":"Incorporating Gaze Behavior Using Joint Embedding With Scene Context for Driver Takeover Detection","publication_year":2022,"publication_date":"2022-04-27","ids":{"openalex":"https://openalex.org/W4225329021","doi":"https://doi.org/10.1109/icassp43922.2022.9747779"},"language":"en","primary_location":{"id":"doi:10.1109/icassp43922.2022.9747779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747779","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5103153285","display_name":"Yuning Qiu","orcid":"https://orcid.org/0000-0002-6377-229X"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuning Qiu","raw_affiliation_strings":["The University of Texas at Dallas,Richardson,TX,USA,75080"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas,Richardson,TX,USA,75080","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040793194","display_name":"Carlos Busso","orcid":"https://orcid.org/0000-0002-4075-4072"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Busso","raw_affiliation_strings":["The University of Texas at Dallas,Richardson,TX,USA,75080"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Texas at Dallas,Richardson,TX,USA,75080","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084637778","display_name":"Teruhisa Misu","orcid":"https://orcid.org/0000-0002-6398-9245"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Teruhisa Misu","raw_affiliation_strings":["Honda Research Institute USA, Inc.,San Jose,CA,USA,95134"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute USA, Inc.,San Jose,CA,USA,95134","institution_ids":["https://openalex.org/I4210145184"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040682125","display_name":"Kumar Akash","orcid":"https://orcid.org/0000-0003-2807-0943"},"institutions":[{"id":"https://openalex.org/I4210145184","display_name":"Honda (United States)","ror":"https://ror.org/04vdmc602","country_code":"US","type":"company","lineage":["https://openalex.org/I1283473643","https://openalex.org/I4210145184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kumar Akash","raw_affiliation_strings":["Honda Research Institute USA, Inc.,San Jose,CA,USA,95134"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Honda Research Institute USA, Inc.,San Jose,CA,USA,95134","institution_ids":["https://openalex.org/I4210145184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.4748,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89438391,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"4633","last_page":"4637"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9995999932289124,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9800999760627747,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.8380447030067444},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7651652097702026},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6955339908599854},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.6778990030288696},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6391559839248657},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6203509569168091},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5865915417671204},{"id":"https://openalex.org/keywords/joint-attention","display_name":"Joint attention","score":0.5630323886871338},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4621587097644806},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12127465009689331},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09062609076499939},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0628633201122284}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8380447030067444},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7651652097702026},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6955339908599854},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.6778990030288696},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6391559839248657},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6203509569168091},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5865915417671204},{"id":"https://openalex.org/C137878579","wikidata":"https://www.wikidata.org/wiki/Q9636076","display_name":"Joint attention","level":3,"score":0.5630323886871338},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4621587097644806},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12127465009689331},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09062609076499939},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0628633201122284},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C170154142","wikidata":"https://www.wikidata.org/wiki/Q150737","display_name":"Architectural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C205778803","wikidata":"https://www.wikidata.org/wiki/Q38404","display_name":"Autism","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp43922.2022.9747779","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp43922.2022.9747779","pdf_url":null,"source":{"id":"https://openalex.org/S4363607702","display_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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":29,"referenced_works":["https://openalex.org/W1983364832","https://openalex.org/W2011390362","https://openalex.org/W2048964781","https://openalex.org/W2072249119","https://openalex.org/W2074331253","https://openalex.org/W2184188583","https://openalex.org/W2286247980","https://openalex.org/W2305684127","https://openalex.org/W2761067592","https://openalex.org/W2799403119","https://openalex.org/W2808399042","https://openalex.org/W2810305473","https://openalex.org/W2890028153","https://openalex.org/W2911622816","https://openalex.org/W2937627330","https://openalex.org/W2946112597","https://openalex.org/W2980985189","https://openalex.org/W2989645276","https://openalex.org/W2998091796","https://openalex.org/W3005933620","https://openalex.org/W3087903192","https://openalex.org/W3101645422","https://openalex.org/W3115767379","https://openalex.org/W4241684631","https://openalex.org/W4309127224","https://openalex.org/W6686207219","https://openalex.org/W6723758535","https://openalex.org/W6752074556","https://openalex.org/W6798140665"],"related_works":["https://openalex.org/W2331316773","https://openalex.org/W2515301603","https://openalex.org/W2016653505","https://openalex.org/W4390081734","https://openalex.org/W1589149166","https://openalex.org/W2146789911","https://openalex.org/W2494497","https://openalex.org/W4399144619","https://openalex.org/W2742603624","https://openalex.org/W4234497699"],"abstract_inverted_index":{"Despite":[0],"the":[1,25,29,31,37,48,51,74,107,110,126,138],"recent":[2],"advancement":[3],"in":[4,28,57,71,183],"driver":[5,26,33,49,68,82,97,142,172],"assistance":[6],"systems,":[7],"most":[8],"existing":[9],"solutions":[10],"and":[11,50,130,141,154],"partial":[12],"automation":[13,21,56,80,112],"systems":[14,22],"such":[15,55],"as":[16,104,106],"SAE":[17],"Level":[18],"2":[19],"driving":[20,38,111,132,185],"assume":[23],"that":[24,88,101,123,164],"is":[27,45,91,135,167],"loop;":[30],"human":[32],"must":[34],"continuously":[35],"monitor":[36],"environment.":[39],"Frequent":[40],"transition":[41,78],"of":[42,109,150],"maneuver":[43],"control":[44],"expected":[46],"between":[47],"car":[52],"while":[53],"using":[54,157,175],"difficult":[58],"traffic":[59,102,151],"conditions.":[60],"In":[61],"this":[62],"work,":[63],"we":[64,99,119,146],"aim":[65],"to":[66,76,81,95,170],"predict":[67,96,171],"takeover":[69,173],"timing":[70],"order":[72],"for":[73],"system":[75],"prepare":[77],"from":[79,179],"control.":[83],"While":[84],"previous":[85],"studies":[86],"indicated":[87],"eye":[89],"gaze":[90,128,155],"an":[92,121],"important":[93],"cue":[94],"takeover,":[98],"hypothesize":[100],"condition":[103],"well":[105],"reliability":[108],"also":[113],"have":[114],"a":[115],"strong":[116],"impact.":[117],"Therefore,":[118],"propose":[120],"algorithm":[122,166],"jointly":[124],"consider":[125,147],"driver\u2019s":[127],"information":[129,153],"contextual":[131],"environment,":[133],"which":[134],"complemented":[136],"with":[137],"vehicle":[139],"operational":[140],"physiological":[143],"signals.":[144],"Specifically,":[145],"joint":[148],"embedding":[149],"scene":[152],"behavior":[156],"3DConvolutional":[158],"Neural":[159],"Network":[160],"(3D-CNN).":[161],"We":[162],"demonstrate":[163],"our":[165],"successfully":[168],"able":[169],"intent,":[174],"user":[176],"study":[177],"data":[178],"28":[180],"participants":[181],"collected":[182],"simulated":[184],"environments.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
