{"id":"https://openalex.org/W4385484834","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191126","title":"What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model","display_name":"What Causes a Driver's Attention Shift? A Driver's Attention-Guided Driving Event Recognition Model","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484834","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191126"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","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/A5075718768","display_name":"Pengcheng Du","orcid":"https://orcid.org/0009-0002-2855-9474"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Pengcheng Du","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University,Chengdu,China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031400194","display_name":"Tao Deng","orcid":"https://orcid.org/0000-0001-5094-5879"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Deng","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University,Chengdu,China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101554660","display_name":"Fei Yan","orcid":"https://orcid.org/0000-0001-5177-4493"},"institutions":[{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Yan","raw_affiliation_strings":["School of Information Science and Technology, Southwest Jiaotong University,Chengdu,China","School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University,Chengdu,China","institution_ids":["https://openalex.org/I4800084"]},{"raw_affiliation_string":"School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075718768"],"corresponding_institution_ids":["https://openalex.org/I4800084"],"apc_list":null,"apc_paid":null,"fwci":0.4919,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.64794613,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7848911881446838},{"id":"https://openalex.org/keywords/attention-network","display_name":"Attention network","score":0.6844362020492554},{"id":"https://openalex.org/keywords/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.6746848225593567},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6622951626777649},{"id":"https://openalex.org/keywords/visual-attention","display_name":"Visual attention","score":0.4480675160884857},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4446811079978943},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.43044915795326233},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39924126863479614},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.34377944469451904},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.13755294680595398},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09566077589988708}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7848911881446838},{"id":"https://openalex.org/C2993807640","wikidata":"https://www.wikidata.org/wiki/Q103709453","display_name":"Attention network","level":2,"score":0.6844362020492554},{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.6746848225593567},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6622951626777649},{"id":"https://openalex.org/C2986089797","wikidata":"https://www.wikidata.org/wiki/Q6501338","display_name":"Visual attention","level":3,"score":0.4480675160884857},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4446811079978943},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.43044915795326233},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39924126863479614},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.34377944469451904},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.13755294680595398},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09566077589988708},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191126","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191126","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1581938076","display_name":null,"funder_award_id":"62106208,61873215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7222901146","display_name":null,"funder_award_id":"2021TQ0272,2021M702715","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W845365781","https://openalex.org/W1909740415","https://openalex.org/W1968114652","https://openalex.org/W2016053056","https://openalex.org/W2016480297","https://openalex.org/W2032007016","https://openalex.org/W2164084182","https://openalex.org/W2314032274","https://openalex.org/W2337252826","https://openalex.org/W2524365899","https://openalex.org/W2559767995","https://openalex.org/W2616247523","https://openalex.org/W2740110793","https://openalex.org/W2887806157","https://openalex.org/W2917222509","https://openalex.org/W2947813496","https://openalex.org/W2947918549","https://openalex.org/W2963155035","https://openalex.org/W2963195425","https://openalex.org/W2963513865","https://openalex.org/W2963616706","https://openalex.org/W2972541095","https://openalex.org/W2984287396","https://openalex.org/W2990503944","https://openalex.org/W2990711573","https://openalex.org/W3008773459","https://openalex.org/W3009130550","https://openalex.org/W3034572008","https://openalex.org/W3035413240","https://openalex.org/W3102564565","https://openalex.org/W3118519864","https://openalex.org/W3119906317","https://openalex.org/W3126721948","https://openalex.org/W3129292912","https://openalex.org/W3166547122","https://openalex.org/W6754127638","https://openalex.org/W6768068225","https://openalex.org/W6774099878","https://openalex.org/W6787721461","https://openalex.org/W6790307280"],"related_works":["https://openalex.org/W2336003151","https://openalex.org/W88404658","https://openalex.org/W2260992101","https://openalex.org/W2766882579","https://openalex.org/W4234265780","https://openalex.org/W2107329017","https://openalex.org/W2015353518","https://openalex.org/W2036134356","https://openalex.org/W3127825725","https://openalex.org/W2759653627"],"abstract_inverted_index":{"Despite":[0],"much":[1],"effort":[2],"to":[3,5,58,114,132,147,161,168,175,188],"try":[4],"research":[6],"driver's":[7,23,53,65,111,120,126,135,181],"spatial":[8],"attention":[9,24,40,54,66,75,112,121,137,182,191],"allocation":[10],"in":[11,77,151,193],"driving":[12,33,87,95,104],"situations,":[13,80],"the":[14,39,43,56,61,116,134,166,170,172,178,185],"computer":[15],"vision":[16],"community":[17],"rarely":[18],"focuses":[19],"on":[20,42],"what":[21],"causes":[22,118],"shifts.":[25,67],"In":[26,98,123,154],"this":[27],"paper,":[28],"we":[29,100],"built":[30],"an":[31],"attention-based":[32],"event":[34,96,105,117],"dataset":[35,76,91],"(ADED)":[36],"constructed":[37,131],"from":[38],"distributed":[41],"traffic":[44,79],"participants":[45],"or":[46],"elements":[47],"and":[48,70,184],"proposed":[49,101,140],"a":[50,73,102,119,125,143],"model":[51,107,141],"using":[52],"as":[55],"guidance":[57,113],"better":[59],"recognize":[60,115],"events":[62],"that":[63],"lead":[64],"We":[68],"relabeled":[69],"redivided":[71],"BDD-A,":[72],"driver":[74],"critical":[78],"into":[81],"six":[82],"different":[83,190],"semantic":[84],"categories":[85],"of":[86,165],"events.":[88],"The":[89,139],"new":[90],"is":[92,130],"introduced":[93],"for":[94],"recognition.":[97,153],"addition,":[99],"special":[103],"recognition":[106],"(called":[108],"DER-Net)":[109],"with":[110],"shift.":[122],"DER-Net,":[124],"attention-guided":[127],"(DAG)":[128],"branch":[129],"consider":[133],"spatiotemporal":[136],"information.":[138],"achieves":[142],"superior":[144],"performance":[145],"compared":[146],"other":[148],"state-of-the-art":[149],"models":[150],"action":[152],"ablation":[155],"study,":[156],"many":[157],"experiments":[158],"are":[159],"conducted":[160],"discuss":[162],"proper":[163],"length":[164],"sequence":[167],"input":[169],"model,":[171],"optimal":[173],"criterion":[174],"find":[176],"out":[177],"frame":[179],"when":[180],"shifts":[183],"appropriate":[186],"function":[187],"quantify":[189],"maps":[192],"neural":[194],"network.":[195]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
