{"id":"https://openalex.org/W4386560369","doi":"https://doi.org/10.1109/tiv.2023.3313419","title":"Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data","display_name":"Driver Profiling and Bayesian Workload Estimation Using Naturalistic Peripheral Detection Study Data","publication_year":2023,"publication_date":"2023-09-08","ids":{"openalex":"https://openalex.org/W4386560369","doi":"https://doi.org/10.1109/tiv.2023.3313419"},"language":"en","primary_location":{"id":"doi:10.1109/tiv.2023.3313419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3313419","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","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/A5059714542","display_name":"Nermin Caber","orcid":null},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Nermin Caber","raw_affiliation_strings":["Department of Engineering, University of Cambridge, Cambridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009317778","display_name":"Bashar I. Ahmad","orcid":"https://orcid.org/0000-0001-8974-6041"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Bashar I. Ahmad","raw_affiliation_strings":["Department of Engineering, University of Cambridge, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8974-6041","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025073373","display_name":"Jiaming Liang","orcid":"https://orcid.org/0000-0002-1318-4481"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Jiaming Liang","raw_affiliation_strings":["Department of Engineering, University of Cambridge, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-1318-4481","affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020836373","display_name":"Simon Godsill","orcid":"https://orcid.org/0000-0001-9522-9681"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Simon Godsill","raw_affiliation_strings":["Department of Engineering, University of Cambridge, Cambridge, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering, University of Cambridge, Cambridge, U.K","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056854596","display_name":"Alexandra Bremers","orcid":"https://orcid.org/0000-0001-5973-949X"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Alexandra Bremers","raw_affiliation_strings":["Cornell Tech, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Cornell Tech, New York, NY, USA","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113726568","display_name":"Philip Thomas","orcid":"https://orcid.org/0009-0007-8051-2004"},"institutions":[{"id":"https://openalex.org/I130198913","display_name":"Jaguar Land Rover (United Kingdom)","ror":"https://ror.org/03b66v461","country_code":"GB","type":"company","lineage":["https://openalex.org/I130198913"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Philip Thomas","raw_affiliation_strings":["Jaguar Land Rover, Whitley, Coventry, U.K"],"raw_orcid":"https://orcid.org/0009-0007-8051-2004","affiliations":[{"raw_affiliation_string":"Jaguar Land Rover, Whitley, Coventry, U.K","institution_ids":["https://openalex.org/I130198913"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003532985","display_name":"David W. Oxtoby","orcid":null},"institutions":[{"id":"https://openalex.org/I130198913","display_name":"Jaguar Land Rover (United Kingdom)","ror":"https://ror.org/03b66v461","country_code":"GB","type":"company","lineage":["https://openalex.org/I130198913"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"David Oxtoby","raw_affiliation_strings":["Jaguar Land Rover, Whitley, Coventry, U.K"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jaguar Land Rover, Whitley, Coventry, U.K","institution_ids":["https://openalex.org/I130198913"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018269339","display_name":"Lee Skrypchuk","orcid":"https://orcid.org/0000-0002-9619-6161"},"institutions":[{"id":"https://openalex.org/I130198913","display_name":"Jaguar Land Rover (United Kingdom)","ror":"https://ror.org/03b66v461","country_code":"GB","type":"company","lineage":["https://openalex.org/I130198913"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lee Skrypchuk","raw_affiliation_strings":["Jaguar Land Rover, Whitley, Coventry, U.K"],"raw_orcid":"https://orcid.org/0000-0002-9619-6161","affiliations":[{"raw_affiliation_string":"Jaguar Land Rover, Whitley, Coventry, U.K","institution_ids":["https://openalex.org/I130198913"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5059714542"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":1.9458,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.86164681,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"9","issue":"1","first_page":"3047","last_page":"3060"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9980000257492065,"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/T12496","display_name":"Color perception and design","score":0.9980000257492065,"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/T11666","display_name":"Color Science and Applications","score":0.9230999946594238,"subfield":{"id":"https://openalex.org/subfields/3107","display_name":"Atomic and Molecular Physics, and Optics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12945","display_name":"Quality Function Deployment in Product Design","score":0.9200999736785889,"subfield":{"id":"https://openalex.org/subfields/1405","display_name":"Management of Technology and Innovation"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.7952414751052856},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6644067764282227},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6543396711349487},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.636163055896759},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.47546905279159546},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.402248352766037},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3749227821826935}],"concepts":[{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.7952414751052856},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6644067764282227},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6543396711349487},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.636163055896759},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.47546905279159546},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.402248352766037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3749227821826935},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tiv.2023.3313419","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tiv.2023.3313419","pdf_url":null,"source":{"id":"https://openalex.org/S4210199657","display_name":"IEEE Transactions on Intelligent Vehicles","issn_l":"2379-8858","issn":["2379-8858","2379-8904"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Intelligent Vehicles","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":47,"referenced_works":["https://openalex.org/W320793261","https://openalex.org/W605234812","https://openalex.org/W1582901406","https://openalex.org/W1773440208","https://openalex.org/W1968299435","https://openalex.org/W1988382218","https://openalex.org/W1996565200","https://openalex.org/W2004210413","https://openalex.org/W2008101737","https://openalex.org/W2011340897","https://openalex.org/W2048121486","https://openalex.org/W2059373554","https://openalex.org/W2076883103","https://openalex.org/W2099358095","https://openalex.org/W2109312944","https://openalex.org/W2142325887","https://openalex.org/W2143679330","https://openalex.org/W2144087345","https://openalex.org/W2151227774","https://openalex.org/W2164215987","https://openalex.org/W2164901293","https://openalex.org/W2490662969","https://openalex.org/W2558581619","https://openalex.org/W2762179274","https://openalex.org/W2771289139","https://openalex.org/W2795960359","https://openalex.org/W2798073204","https://openalex.org/W2892806877","https://openalex.org/W2942501971","https://openalex.org/W2972810968","https://openalex.org/W2973336708","https://openalex.org/W2994918793","https://openalex.org/W2996649805","https://openalex.org/W3041953040","https://openalex.org/W3083588436","https://openalex.org/W3083891030","https://openalex.org/W3112330479","https://openalex.org/W3190461479","https://openalex.org/W4232464081","https://openalex.org/W4294141750","https://openalex.org/W4296306270","https://openalex.org/W4301648254","https://openalex.org/W4385245566","https://openalex.org/W4399570638","https://openalex.org/W6618629939","https://openalex.org/W6869479734","https://openalex.org/W6989601665"],"related_works":["https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525","https://openalex.org/W2620865396","https://openalex.org/W2414054180"],"abstract_inverted_index":{"Monitoring":[0],"drivers'":[1],"mental":[2,75],"workload":[3,41,57,76,116,157,182],"facilitates":[4],"initiating":[5],"and":[6,14,84,104,142,166,180,202],"maintaining":[7],"safe":[8],"interactions":[9],"with":[10,24,168],"in-vehicle":[11],"information":[12],"systems,":[13],"thus":[15],"crucial":[16],"for":[17,54,129],"delivering":[18],"adaptive":[19],"human":[20],"machine":[21],"interaction":[22],"solutions":[23],"reduced":[25],"impact":[26],"on":[27,113],"the":[28,38,114,135,177,188],"primary":[29],"task":[30,64],"of":[31,40,86,176,198],"driving.":[32],"In":[33],"this":[34],"paper,":[35],"we":[36,48],"tackle":[37],"problem":[39],"estimation":[42,183],"from":[43,171],"driving":[44],"performance":[45],"data.":[46],"First,":[47],"present":[49],"a":[50,60,73,91,120,150],"novel":[51],"on-road":[52,189],"study":[53,190],"collecting":[55],"subjective":[56],"data":[58,169],"via":[59,79],"modified":[61],"peripheral":[62],"detection":[63],"in":[65,88,132],"naturalistic":[66],"settings.":[67],"Key":[68],"environmental":[69],"factors":[70],"that":[71],"induce":[72],"high":[74],"are":[77,185],"identified":[78],"video":[80],"analysis,":[81],"e.g.":[82],"junctions":[83],"behaviour":[85],"vehicle":[87],"front.":[89],"Second,":[90],"supervised":[92],"learning":[93],"framework":[94],"using":[95,187],"state-of-the-art":[96],"time":[97],"series":[98],"classifiers":[99],"(e.g.":[100,152,163],"convolutional":[101],"neural":[102],"network":[103],"transform":[105],"techniques)":[106],"is":[107,126],"introduced":[108],"to":[109,149,160,200],"profile":[110],"drivers":[111],"based":[112],"average":[115,156],"they":[117],"experience":[118],"during":[119],"journey.":[121],"A":[122],"Bayesian":[123],"filtering":[124],"approach":[125],"then":[127],"proposed":[128],"sequentially":[130],"estimating,":[131],"(near)":[133],"real-time,":[134],"driver's":[136],"instantaneous":[137,181],"workload.":[138],"This":[139],"computationally":[140],"efficient":[141],"flexible":[143],"method":[144],"can":[145],"be":[146],"easily":[147],"personalised":[148],"driver":[151],"incorporate":[153],"their":[154],"inferred":[155],"profile),":[158],"adapted":[159],"driving/environmental":[161],"contexts":[162],"road":[164],"type)":[165],"extended":[167],"streams":[170],"new":[172],"sources.":[173],"The":[174],"efficacy":[175],"presented":[178],"profiling":[179],"approaches":[184],"demonstrated":[186],"data,":[191],"showing":[192],"<inline-formula":[193],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[194],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[195],"notation=\"LaTeX\">$F_{1}$</tex-math></inline-formula>":[196],"scores":[197],"up":[199],"92%":[201],"81%,":[203],"respectively.":[204]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
