{"id":"https://openalex.org/W4283819297","doi":"https://doi.org/10.1145/3545994","title":"Adaptive Driving Assistant Model (ADAM) for Advising Drivers of Autonomous Vehicles","display_name":"Adaptive Driving Assistant Model (ADAM) for Advising Drivers of Autonomous Vehicles","publication_year":2022,"publication_date":"2022-07-04","ids":{"openalex":"https://openalex.org/W4283819297","doi":"https://doi.org/10.1145/3545994"},"language":"en","primary_location":{"id":"doi:10.1145/3545994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545994","pdf_url":null,"source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-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/A5002718919","display_name":"Sheng\u2010Jen Hsieh","orcid":"https://orcid.org/0000-0002-8804-4715"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sheng-Jen Hsieh","raw_affiliation_strings":["Texas A&M University, College Station, TX, U.S.A"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, U.S.A","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012731367","display_name":"Andy R. Wang","orcid":"https://orcid.org/0000-0003-1116-0774"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andy R. Wang","raw_affiliation_strings":["Texas A&M University, College Station, TX, U.S.A"],"affiliations":[{"raw_affiliation_string":"Texas A&M University, College Station, TX, U.S.A","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052062029","display_name":"Anna Madison","orcid":"https://orcid.org/0000-0002-0856-3743"},"institutions":[{"id":"https://openalex.org/I430641","display_name":"United States Air Force Academy","ror":"https://ror.org/0055d0g64","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I430641"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anna Madison","raw_affiliation_strings":["United States Air Force Academy, CO, U.S.A"],"affiliations":[{"raw_affiliation_string":"United States Air Force Academy, CO, U.S.A","institution_ids":["https://openalex.org/I430641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017244472","display_name":"Chad C. Tossell","orcid":"https://orcid.org/0000-0003-1662-9308"},"institutions":[{"id":"https://openalex.org/I430641","display_name":"United States Air Force Academy","ror":"https://ror.org/0055d0g64","country_code":"US","type":"government","lineage":["https://openalex.org/I1330347796","https://openalex.org/I4210089612","https://openalex.org/I4210102105","https://openalex.org/I430641"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chad Tossell","raw_affiliation_strings":["United States Air Force Academy, CO, U.S.A"],"affiliations":[{"raw_affiliation_string":"United States Air Force Academy, CO, U.S.A","institution_ids":["https://openalex.org/I430641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5023496105","display_name":"Ewart J. de Visser","orcid":"https://orcid.org/0000-0001-9238-9081"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ewart de Visser","raw_affiliation_strings":["George Mason University, CO, U.S.A"],"affiliations":[{"raw_affiliation_string":"George Mason University, CO, U.S.A","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5002718919"],"corresponding_institution_ids":["https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":2.7948,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.90163028,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"12","issue":"3","first_page":"1","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9998999834060669,"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":0.9998999834060669,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9990000128746033,"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"}},{"id":"https://openalex.org/T10370","display_name":"Traffic and Road Safety","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/advanced-driver-assistance-systems","display_name":"Advanced driver assistance systems","score":0.7841297388076782},{"id":"https://openalex.org/keywords/autopilot","display_name":"Autopilot","score":0.7441836595535278},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.6552226543426514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6310828924179077},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.4555862545967102},{"id":"https://openalex.org/keywords/driving-simulator","display_name":"Driving simulator","score":0.4501965045928955},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision avoidance","score":0.42099636793136597},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39141640067100525},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.38283318281173706},{"id":"https://openalex.org/keywords/collision","display_name":"Collision","score":0.3039008677005768},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.2914469838142395},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2761726379394531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2270037829875946},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.12096688151359558}],"concepts":[{"id":"https://openalex.org/C87833898","wikidata":"https://www.wikidata.org/wiki/Q1060280","display_name":"Advanced driver assistance systems","level":2,"score":0.7841297388076782},{"id":"https://openalex.org/C18020424","wikidata":"https://www.wikidata.org/wiki/Q220858","display_name":"Autopilot","level":2,"score":0.7441836595535278},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.6552226543426514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6310828924179077},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.4555862545967102},{"id":"https://openalex.org/C2780689630","wikidata":"https://www.wikidata.org/wiki/Q2081815","display_name":"Driving simulator","level":2,"score":0.4501965045928955},{"id":"https://openalex.org/C2780864053","wikidata":"https://www.wikidata.org/wiki/Q5147495","display_name":"Collision avoidance","level":3,"score":0.42099636793136597},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39141640067100525},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.38283318281173706},{"id":"https://openalex.org/C121704057","wikidata":"https://www.wikidata.org/wiki/Q352070","display_name":"Collision","level":2,"score":0.3039008677005768},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2914469838142395},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2761726379394531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2270037829875946},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.12096688151359558},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3545994","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3545994","pdf_url":null,"source":{"id":"https://openalex.org/S4210173818","display_name":"ACM Transactions on Interactive Intelligent Systems","issn_l":"2160-6455","issn":["2160-6455","2160-6463"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Interactive Intelligent Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1977387036","https://openalex.org/W1978271112","https://openalex.org/W1985372952","https://openalex.org/W1999479373","https://openalex.org/W1999770103","https://openalex.org/W2007567868","https://openalex.org/W2050101589","https://openalex.org/W2055563201","https://openalex.org/W2063052894","https://openalex.org/W2073260247","https://openalex.org/W2102595860","https://openalex.org/W2103780778","https://openalex.org/W2106559465","https://openalex.org/W2113238782","https://openalex.org/W2123179704","https://openalex.org/W2128302979","https://openalex.org/W2131822674","https://openalex.org/W2135556086","https://openalex.org/W2135733203","https://openalex.org/W2135907989","https://openalex.org/W2139212933","https://openalex.org/W2142175015","https://openalex.org/W2143074722","https://openalex.org/W2149298154","https://openalex.org/W2162408846","https://openalex.org/W2168156818","https://openalex.org/W2172073485","https://openalex.org/W2248792478","https://openalex.org/W2284188655","https://openalex.org/W2287757269","https://openalex.org/W2332079078","https://openalex.org/W2499526086","https://openalex.org/W2524052714","https://openalex.org/W2768408353","https://openalex.org/W2768591679","https://openalex.org/W2773835648","https://openalex.org/W2794595230","https://openalex.org/W2886021983","https://openalex.org/W2888761931","https://openalex.org/W2911622816","https://openalex.org/W2913246518","https://openalex.org/W2933035648","https://openalex.org/W2953303875","https://openalex.org/W2965217482","https://openalex.org/W2969060040","https://openalex.org/W2976534600","https://openalex.org/W2979420091","https://openalex.org/W2989822567","https://openalex.org/W2994918793","https://openalex.org/W3017008286","https://openalex.org/W3019688365","https://openalex.org/W3033311877","https://openalex.org/W3047375952","https://openalex.org/W3083287224","https://openalex.org/W3087903192","https://openalex.org/W3098131776","https://openalex.org/W3101645422","https://openalex.org/W3122967761","https://openalex.org/W3186233340","https://openalex.org/W4243342770","https://openalex.org/W6758283773","https://openalex.org/W6782819854"],"related_works":["https://openalex.org/W2205842997","https://openalex.org/W237916885","https://openalex.org/W1980491204","https://openalex.org/W2164806545","https://openalex.org/W2058326600","https://openalex.org/W255102710","https://openalex.org/W4283819297","https://openalex.org/W2953719093","https://openalex.org/W2899234910","https://openalex.org/W2794450872"],"abstract_inverted_index":{"Fully":[0],"autonomous":[1,156,175],"driving":[2,45,99,176,194,199,247],"is":[3],"on":[4,78,84,135,161,197,217],"the":[5,75,136],"horizon;":[6],"vehicles":[7,114,157],"with":[8,52,213,230],"advanced":[9],"driver":[10,32],"assistance":[11,248],"systems":[12,140],"(ADAS)":[13],"such":[14],"as":[15],"Tesla's":[16],"Autopilot":[17],"are":[18,133,141,148,185],"already":[19],"available":[20,26],"to":[21,33,38,49,91,115,144,187,192,228,232,243,254],"consumers.":[22],"However,":[23],"all":[24],"currently":[25],"ADAS":[27,81,124],"applications":[28],"require":[29],"a":[30],"human":[31,50,204],"be":[34,209,226,241],"alert":[35],"and":[36,54,88,94,211,220,256],"ready":[37],"take":[39],"control":[40],"if":[41],"needed.":[42],"Partially":[43],"automated":[44,113],"introduces":[46],"new":[47],"complexities":[48],"interactions":[51],"cars":[53],"can":[55,152,208,225,240,251],"even":[56],"increase":[57,193],"collision":[58],"risk.":[59],"A":[60],"better":[61],"understanding":[62],"of":[63,74,86,155,180,259],"drivers\u2019":[64,131],"trust":[65,79,93,117,205,245],"in":[66,80,118,206,246],"automation":[67,207],"may":[68],"help":[69,153],"reduce":[70],"these":[71,139,238,260],"complexities.":[72],"Much":[73],"existing":[76],"research":[77],"has":[82,95],"relied":[83],"use":[85,108,258],"surveys":[87],"physiological":[89],"measures":[90],"assess":[92,116],"been":[96,103],"conducted":[97],"using":[98],"simulators.":[100],"There":[101],"have":[102],"relatively":[104],"few":[105],"studies":[106],"that":[107,151,203,221],"telemetry":[109],"data":[110,164],"from":[111],"real":[112],"ADAS.":[119],"In":[120,166],"addition,":[121],"although":[122],"some":[123],"technologies":[125,150],"provide":[126,188],"alerts":[127],"when,":[128],"for":[129,173],"example,":[130],"hands":[132],"not":[134,142],"steering":[137],"wheel,":[138],"personalized":[143],"individual":[145],"drivers.":[146],"Needed":[147],"adaptive":[149,174,222],"drivers":[154,229],"avoid":[158],"crashes":[159],"based":[160,196,216],"multiple":[162,181],"real-time":[163],"streams.":[165],"this":[167],"paper,":[168],"we":[169],"propose":[170],"an":[171],"architecture":[172],"assistance.":[177],"Two":[178],"layers":[179],"sensory":[182],"fusion":[183],"models":[184,239],"developed":[186],"appropriate":[189,257],"voice":[190],"reminders":[191],"safety":[195],"predicted":[198,212],"status.":[200],"Results":[201],"suggest":[202],"quantified":[210],"80%":[214],"accuracy":[215],"vehicle":[218],"data,":[219,237],"speech-based":[223],"advice":[224],"provided":[227],"90":[231],"95%":[233],"accuracy.":[234],"With":[235],"more":[236],"used":[242],"evaluate":[244],"tools,":[249],"which":[250],"ultimately":[252],"lead":[253],"safer":[255],"features.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}