{"id":"https://openalex.org/W1836843865","doi":"https://doi.org/10.3233/ia-140071","title":"Adaptive human machine interface based on the detection of driver's cognitive state using machine learning approach","display_name":"Adaptive human machine interface based on the detection of driver's cognitive state using machine learning approach","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W1836843865","doi":"https://doi.org/10.3233/ia-140071","mag":"1836843865"},"language":"en","primary_location":{"id":"doi:10.3233/ia-140071","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ia-140071","pdf_url":null,"source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale: The international journal of the AIxIA","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/A5002898508","display_name":"Daniele Pinotti","orcid":null},"institutions":[{"id":"https://openalex.org/I4210136780","display_name":"Re Lab (Italy)","ror":"https://ror.org/03pk1p315","country_code":"IT","type":"company","lineage":["https://openalex.org/I4210136780"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Daniele Pinotti","raw_affiliation_strings":["RE:Lab s.r.l., Via Tamburini, Reggio Emilia, Italy"],"affiliations":[{"raw_affiliation_string":"RE:Lab s.r.l., Via Tamburini, Reggio Emilia, Italy","institution_ids":["https://openalex.org/I4210136780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073954533","display_name":"Giulio Bianchi Piccinini","orcid":"https://orcid.org/0000-0003-1885-6360"},"institutions":[{"id":"https://openalex.org/I2799819292","display_name":"Lindholmen Science Park","ror":"https://ror.org/00zh7c888","country_code":"SE","type":"archive","lineage":["https://openalex.org/I2799819292"]},{"id":"https://openalex.org/I66862912","display_name":"Chalmers University of Technology","ror":"https://ror.org/040wg7k59","country_code":"SE","type":"education","lineage":["https://openalex.org/I66862912"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Giulio Francesco Bianchi Piccinini","raw_affiliation_strings":["Applied Mechanics, Chalmers University of Technology, Lindholmspiren, Lindholmen Science Park, G\u00f6teborg, Sweden","ICOOR, Via Amendola, pad. Morselli, Reggio Emilia, Italy"],"affiliations":[{"raw_affiliation_string":"Applied Mechanics, Chalmers University of Technology, Lindholmspiren, Lindholmen Science Park, G\u00f6teborg, Sweden","institution_ids":["https://openalex.org/I2799819292","https://openalex.org/I66862912"]},{"raw_affiliation_string":"ICOOR, Via Amendola, pad. Morselli, Reggio Emilia, Italy","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083202840","display_name":"Fabio Tango","orcid":"https://orcid.org/0000-0001-7283-4571"},"institutions":[{"id":"https://openalex.org/I4210090962","display_name":"Centro Ricerche FIAT","ror":"https://ror.org/00b7dkt53","country_code":"IT","type":"facility","lineage":["https://openalex.org/I4210090962"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Fabio Tango","raw_affiliation_strings":["E/E Systems, Centro Ricerche Fiat, Strada Torino, Orbassano, Italy"],"affiliations":[{"raw_affiliation_string":"E/E Systems, Centro Ricerche Fiat, Strada Torino, Orbassano, Italy","institution_ids":["https://openalex.org/I4210090962"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002898508"],"corresponding_institution_ids":["https://openalex.org/I4210136780"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.10195029,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8","issue":"2","first_page":"163","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9997000098228455,"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":0.9997000098228455,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9757999777793884,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9708999991416931,"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/computer-science","display_name":"Computer science","score":0.7854611873626709},{"id":"https://openalex.org/keywords/human\u2013machine-interface","display_name":"Human\u2013machine interface","score":0.5482261776924133},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5225776433944702},{"id":"https://openalex.org/keywords/human\u2013machine-system","display_name":"Human\u2013machine system","score":0.5216463208198547},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.5185497403144836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4940958321094513},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4852876365184784},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4412737190723419},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.32233619689941406},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.10591241717338562},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.07957610487937927},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.07496309280395508},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.05562782287597656}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854611873626709},{"id":"https://openalex.org/C165024716","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"Human\u2013machine interface","level":3,"score":0.5482261776924133},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5225776433944702},{"id":"https://openalex.org/C146047270","wikidata":"https://www.wikidata.org/wiki/Q469666","display_name":"Human\u2013machine system","level":2,"score":0.5216463208198547},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.5185497403144836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4940958321094513},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4852876365184784},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4412737190723419},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.32233619689941406},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.10591241717338562},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07957610487937927},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.07496309280395508},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.05562782287597656},{"id":"https://openalex.org/C157915830","wikidata":"https://www.wikidata.org/wiki/Q2928001","display_name":"Bubble","level":2,"score":0.0},{"id":"https://openalex.org/C129307140","wikidata":"https://www.wikidata.org/wiki/Q6795880","display_name":"Maximum bubble pressure method","level":3,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3233/ia-140071","is_oa":false,"landing_page_url":"https://doi.org/10.3233/ia-140071","pdf_url":null,"source":{"id":"https://openalex.org/S207922018","display_name":"Intelligenza Artificiale","issn_l":"1724-8035","issn":["1724-8035","2211-0097"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Intelligenza Artificiale: The international journal of the AIxIA","raw_type":"journal-article"},{"id":"pmh:oai:research.chalmers.se:218996","is_oa":false,"landing_page_url":"https://research.chalmers.se/en/publication/218996","pdf_url":null,"source":{"id":"https://openalex.org/S4306402469","display_name":"Chalmers Research (Chalmers University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I66862912","host_organization_name":"Chalmers University of Technology","host_organization_lineage":["https://openalex.org/I66862912"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W44505555","https://openalex.org/W116278252","https://openalex.org/W159358038","https://openalex.org/W1514415280","https://openalex.org/W1548286920","https://openalex.org/W1563088657","https://openalex.org/W1565377632","https://openalex.org/W1606653592","https://openalex.org/W1993837778","https://openalex.org/W2030775138","https://openalex.org/W2032191478","https://openalex.org/W2033413137","https://openalex.org/W2074275900","https://openalex.org/W2077439736","https://openalex.org/W2098629434","https://openalex.org/W2122570643","https://openalex.org/W2124776405","https://openalex.org/W2133658999","https://openalex.org/W2155524176","https://openalex.org/W2156909104","https://openalex.org/W2157289187"],"related_works":["https://openalex.org/W1967474012","https://openalex.org/W2402203479","https://openalex.org/W2362465791","https://openalex.org/W2011436548","https://openalex.org/W2393019145","https://openalex.org/W2382447322","https://openalex.org/W104455610","https://openalex.org/W3095210969","https://openalex.org/W2390610051","https://openalex.org/W2377173674"],"abstract_inverted_index":{"Cognitive":[0],"distraction":[1,67,130],"during":[2,123,165],"the":[3,14,20,31,41,57,77,101,115,120,124,128,139,160,163,166,173,177,186,191,199],"driving":[4,94],"task":[5],"might":[6],"cause":[7],"impairment":[8],"of":[9,13,22,45,64,108,179],"detection":[10],"performance":[11],"and":[12,43,71,150,175,194],"recognition":[15],"and/or":[16],"response":[17],"selection,":[18],"increasing":[19],"risk":[21],"road":[23,74],"crashes.":[24],"In":[25,138],"order":[26],"to":[27,35,80],"avoid":[28],"or":[29],"mitigate":[30],"negative":[32],"effects":[33],"related":[34],"cognitive":[36,60,66,129],"distraction,":[37],"this":[38],"paper":[39],"describes":[40],"development":[42],"testing":[44],"a":[46,65,81,92,109,143,180],"Cooperative":[47],"Lane":[48,116],"Change":[49,117],"Assistant":[50],"(C-LCA)":[51],"system:":[52],"it":[53,72],"takes":[54],"into":[55],"account":[56],"real-time":[58],"driver's":[59],"state":[61],"by":[62],"means":[63],"classifier":[68,131],"expressly":[69],"designed":[70,197],"implements":[73],"cooperation":[75],"between":[76],"vehicles":[78],"thanks":[79],"cooperative":[82],"driver":[83],"model.":[84],"Three":[85],"different":[86],"test":[87,99,126],"sessions":[88],"were":[89],"conducted":[90],"on":[91],"static":[93],"simulator":[95],"and,":[96],"in":[97],"each":[98],"session,":[100,127],"participants":[102],"carried":[103],"out":[104],"several":[105],"analogous":[106],"runs":[107],"reference":[110],"protocol":[111],"test,":[112],"derived":[113],"from":[114],"Task.":[118],"Using":[119],"data":[121],"collected":[122],"first":[125],"was":[132],"developed":[133],"using":[134],"Machine":[135],"Learning":[136],"techniques.":[137],"remaining":[140],"two":[141],"sessions,":[142],"specific":[144],"C-LCA":[145,161],"HMI":[146],"prototype":[147],"with":[148,172,176],"visual":[149],"acoustic":[151],"interfaces":[152],"has":[153],"been":[154],"evaluated.":[155],"The":[156],"results":[157],"show":[158],"that":[159],"reduced":[162],"workload":[164],"lane":[167],"change":[168],"manoeuvres":[169],"compared":[170],"both":[171],"baseline":[174],"assistance":[178],"non-cooperative":[181],"warning":[182],"system.":[183],"As":[184],"well,":[185],"users":[187],"expressed":[188],"satisfaction":[189],"about":[190],"Visual":[192],"Interface":[193,196],"Acoustic":[195],"for":[198],"C-LCA.":[200]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}