{"id":"https://openalex.org/W3093679471","doi":"https://doi.org/10.1145/3382507.3417967","title":"X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild","display_name":"X-AWARE: ConteXt-AWARE Human-Environment Attention Fusion for Driver Gaze Prediction in the Wild","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3093679471","doi":"https://doi.org/10.1145/3382507.3417967","mag":"3093679471"},"language":"en","primary_location":{"id":"doi:10.1145/3382507.3417967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3382507.3417967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimodal Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/91675/91675.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023099133","display_name":"Lukas Stappen","orcid":"https://orcid.org/0000-0002-3761-2225"},"institutions":[{"id":"https://openalex.org/I179225836","display_name":"University of Augsburg","ror":"https://ror.org/03p14d497","country_code":"DE","type":"education","lineage":["https://openalex.org/I179225836"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Lukas Stappen","raw_affiliation_strings":["University of Augsburg, Augsburg, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Augsburg, Augsburg, Germany","institution_ids":["https://openalex.org/I179225836"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054300849","display_name":"Georgios Rizos","orcid":"https://orcid.org/0000-0003-2483-5574"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Georgios Rizos","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043060302","display_name":"Bj\u00f6rn W. Schuller","orcid":"https://orcid.org/0000-0002-6478-8699"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bj\u00f6rn Schuller","raw_affiliation_strings":["Imperial College London, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Imperial College London, London, United Kingdom","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2325,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87745411,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"858","last_page":"867"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":1.0,"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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9919999837875366,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9914000034332275,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/gaze","display_name":"Gaze","score":0.8445065021514893},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8103915452957153},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6775877475738525},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6343581676483154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.592901885509491},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5592519640922546},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5392569303512573},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5133478045463562},{"id":"https://openalex.org/keywords/eye-tracking","display_name":"Eye tracking","score":0.508958101272583},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45065921545028687},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.41088899970054626},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37797871232032776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07295477390289307}],"concepts":[{"id":"https://openalex.org/C2779916870","wikidata":"https://www.wikidata.org/wiki/Q14467155","display_name":"Gaze","level":2,"score":0.8445065021514893},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8103915452957153},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6775877475738525},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6343581676483154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.592901885509491},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5592519640922546},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5392569303512573},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5133478045463562},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.508958101272583},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45065921545028687},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.41088899970054626},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37797871232032776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07295477390289307},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3382507.3417967","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3382507.3417967","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2020 International Conference on Multimodal Interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:uni-augsburg.opus-bayern.de:91675","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91675","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/91675/91675.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"}],"best_oa_location":{"id":"pmh:oai:uni-augsburg.opus-bayern.de:91675","is_oa":true,"landing_page_url":"https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/index/index/docId/91675","pdf_url":"https://opus.bibliothek.uni-augsburg.de/opus4/files/91675/91675.pdf","source":{"id":"https://openalex.org/S4306400930","display_name":"OPUS (Augsburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I119916105","host_organization_name":"Augsburg University","host_organization_lineage":["https://openalex.org/I119916105"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"bookpart"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3093679471.pdf","grobid_xml":"https://content.openalex.org/works/W3093679471.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W1133916940","https://openalex.org/W1595823565","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1896788142","https://openalex.org/W1989962196","https://openalex.org/W1993837778","https://openalex.org/W2019177772","https://openalex.org/W2027879843","https://openalex.org/W2052487768","https://openalex.org/W2072344378","https://openalex.org/W2106126246","https://openalex.org/W2108045700","https://openalex.org/W2149382413","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2343672207","https://openalex.org/W2409999048","https://openalex.org/W2531409750","https://openalex.org/W2535695336","https://openalex.org/W2540666661","https://openalex.org/W2556418146","https://openalex.org/W2621061298","https://openalex.org/W2752782242","https://openalex.org/W2776312359","https://openalex.org/W2786808285","https://openalex.org/W2793958520","https://openalex.org/W2796347433","https://openalex.org/W2805964914","https://openalex.org/W2883307571","https://openalex.org/W2884585870","https://openalex.org/W2895535699","https://openalex.org/W2900996483","https://openalex.org/W2921620620","https://openalex.org/W2962835718","https://openalex.org/W2963087412","https://openalex.org/W2963525576","https://openalex.org/W2963794138","https://openalex.org/W2964010806","https://openalex.org/W2964320807","https://openalex.org/W2970389371","https://openalex.org/W2976818183","https://openalex.org/W2985276180","https://openalex.org/W2998249728","https://openalex.org/W3005863156","https://openalex.org/W3015882666","https://openalex.org/W3035130542","https://openalex.org/W3094918372","https://openalex.org/W3102181640","https://openalex.org/W3106262690"],"related_works":["https://openalex.org/W1880689012","https://openalex.org/W3014378845","https://openalex.org/W4240909707","https://openalex.org/W2059546927","https://openalex.org/W1986970529","https://openalex.org/W4386072035","https://openalex.org/W4385374417","https://openalex.org/W2161294397","https://openalex.org/W2012644758","https://openalex.org/W2047559669"],"abstract_inverted_index":{"Reliable":[0],"systems":[1,97],"for":[2,11,19,80,98,115],"automatic":[3],"estimation":[4,31],"of":[5,15,55,61,95,124,148,157,173,193,211],"the":[6,13,53,73,82,93,122,125,130,144,155,162,166,174,179,188,198,203,214],"driver's":[7,131],"gaze":[8,100],"are":[9],"crucial":[10],"reducing":[12],"number":[14],"traffic":[16],"fatalities":[17],"and":[18,42,66,201],"many":[20],"emerging":[21],"research":[22],"areas":[23],"aimed":[24],"at":[25],"developing":[26],"intelligent":[27],"vehicle-passenger":[28],"systems.":[29],"Gaze":[30,164],"is":[32,47],"a":[33,136],"challenging":[34],"task,":[35],"especially":[36],"in":[37,59,165,178,195],"environments":[38],"with":[39,50,76,129],"varying":[40],"illumination":[41],"reflection":[43],"properties.":[44],"Furthermore,":[45],"there":[46],"wide":[48],"diversity":[49],"respect":[51],"to":[52,110,120,143,153],"appearance":[54],"drivers'":[56],"faces,":[57],"both":[58],"terms":[60],"occlusions":[62],"(e.g.":[63],"vision":[64],"aids)":[65],"cultural/ethnic":[67],"backgrounds.":[68],"For":[69],"this":[70,103,116],"reason,":[71],"analysing":[72],"face":[74],"along":[75],"contextual":[77,137],"information":[78],"-":[79,86],"example,":[81],"vehicle":[83],"cabin":[84],"environment":[85,128],"adds":[87],"another,":[88],"less":[89],"subjective":[90],"signal":[91],"towards":[92],"design":[94],"robust":[96],"passenger":[99],"estimation.":[101],"In":[102,118,151],"paper,":[104],"we":[105,133,160],"present":[106],"an":[107,191,209],"integrated":[108],"approach":[109],"jointly":[111],"model":[112,186],"different":[113],"features":[114],"task.":[117],"particular,":[119],"improve":[121],"fusion":[123],"visually":[126],"captured":[127],"face,":[132],"have":[134],"developed":[135],"attention":[138],"mechanism,":[139],"X-AWARE,":[140],"attached":[141],"directly":[142],"output":[145],"convolutional":[146],"layers":[147],"InceptionResNetV2":[149],"networks.":[150],"order":[152],"showcase":[154],"effectiveness":[156],"our":[158],"approach,":[159],"use":[161],"Driver":[163],"Wild":[167,180],"dataset,":[168],"recently":[169],"released":[170],"as":[171],"part":[172],"Eighth":[175],"Emotion":[176],"Recognition":[177],"Challenge":[181],"(EmotiW)":[182],"challenge.":[183],"Our":[184],"best":[185,205],"outperforms":[187],"baseline":[189],"by":[190,208],"absolute":[192,210],"15.03%":[194],"accuracy":[196],"on":[197,213],"validation":[199],"set,":[200],"improves":[202],"previously":[204],"reported":[206],"result":[207],"8.72%":[212],"test":[215],"set.":[216]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
