{"id":"https://openalex.org/W4415428323","doi":"https://doi.org/10.3233/faia251122","title":"TRUCE-AV: A Multimodal Dataset for Trust and Comfort Estimation in Autonomous Vehicles","display_name":"TRUCE-AV: A Multimodal Dataset for Trust and Comfort Estimation in Autonomous Vehicles","publication_year":2025,"publication_date":"2025-10-21","ids":{"openalex":"https://openalex.org/W4415428323","doi":"https://doi.org/10.3233/faia251122"},"language":null,"primary_location":{"id":"doi:10.3233/faia251122","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251122","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://doi.org/10.3233/faia251122","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Aditi Bhalla","orcid":null},"institutions":[{"id":"https://openalex.org/I147869694","display_name":"Continental (Germany)","ror":"https://ror.org/0359s0245","country_code":"DE","type":"company","lineage":["https://openalex.org/I147869694"]},{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Aditi Bhalla","raw_affiliation_strings":["Continental Automotive Technologies GmbH, Germany","Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Continental Automotive Technologies GmbH, Germany","institution_ids":["https://openalex.org/I147869694"]},{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043778927","display_name":"Christian Hellert","orcid":null},"institutions":[{"id":"https://openalex.org/I147869694","display_name":"Continental (Germany)","ror":"https://ror.org/0359s0245","country_code":"DE","type":"company","lineage":["https://openalex.org/I147869694"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christian Hellert","raw_affiliation_strings":["Continental Automotive Technologies GmbH, Germany"],"affiliations":[{"raw_affiliation_string":"Continental Automotive Technologies GmbH, Germany","institution_ids":["https://openalex.org/I147869694"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008809634","display_name":"Enkelejda Kasneci","orcid":"https://orcid.org/0000-0003-3146-4484"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Enkelejda Kasneci","raw_affiliation_strings":["Technical University of Munich, Germany"],"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nastassja Becker","orcid":null},"institutions":[{"id":"https://openalex.org/I147869694","display_name":"Continental (Germany)","ror":"https://ror.org/0359s0245","country_code":"DE","type":"company","lineage":["https://openalex.org/I147869694"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nastassja Becker","raw_affiliation_strings":["Continental Automotive Technologies GmbH, Germany"],"affiliations":[{"raw_affiliation_string":"Continental Automotive Technologies GmbH, Germany","institution_ids":["https://openalex.org/I147869694"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I147869694","https://openalex.org/I62916508"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.58216224,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11373","display_name":"Sleep and Work-Related Fatigue","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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":0.9646000266075134,"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/T10525","display_name":"Human-Automation Interaction and Safety","score":0.9258000254631042,"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/key","display_name":"Key (lock)","score":0.6051999926567078},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.5949000120162964},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.5583000183105469},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5514000058174133},{"id":"https://openalex.org/keywords/behavioral-analysis","display_name":"Behavioral analysis","score":0.2955000102519989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6876999735832214},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6051999926567078},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5949000120162964},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.5583000183105469},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5514000058174133},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48570001125335693},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43959999084472656},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36970001459121704},{"id":"https://openalex.org/C2989277270","wikidata":"https://www.wikidata.org/wiki/Q168338","display_name":"Behavioral analysis","level":2,"score":0.2955000102519989},{"id":"https://openalex.org/C507571656","wikidata":"https://www.wikidata.org/wiki/Q848436","display_name":"Home automation","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C9628104","wikidata":"https://www.wikidata.org/wiki/Q788009","display_name":"Autonomous system (mathematics)","level":2,"score":0.2612000107765198}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia251122","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251122","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia251122","is_oa":true,"landing_page_url":"https://doi.org/10.3233/faia251122","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"and":[1,5,12,23,30,46,58,79,91,100,112,139,154,156,162,172,209,218],"estimating":[2],"driver":[3],"trust":[4,22,45,56,109,138,170,208],"comfort":[6,24,47,60,140,173,210],"are":[7,93],"essential":[8],"for":[9,137,169],"the":[10,96,116,126,166,190,196],"safety":[11],"widespread":[13],"acceptance":[14],"of":[15,62,118,128,198,203],"autonomous":[16,50,69],"vehicles.":[17,51],"Existing":[18],"works":[19],"analyze":[20],"user":[21,207,216],"separately,":[25],"with":[26,82,121],"limited":[27],"real-time":[28,55,122],"assessment":[29],"insufficient":[31],"multimodal":[32,39],"data.":[33,144],"This":[34],"paper":[35],"introduces":[36],"a":[37,66],"novel":[38],"dataset":[40,53,194],"called":[41],"TRUCE-AV,":[42],"focusing":[43],"on":[44,189],"estimation":[48,141],"in":[49,110],"The":[52],"collects":[54],"votes":[57],"continuous":[59],"ratings":[61],"31":[63],"participants":[64],"during":[65],"simulator-based":[67],"fully":[68],"driving.":[70],"Simultaneously,":[71],"physiological":[72,143],"signals,":[73],"such":[74,159],"as":[75,160],"heart":[76],"rate,":[77],"gaze,":[78],"emotions,":[80],"along":[81],"environmental":[83],"data":[84],"(e.g.,":[85],"vehicle":[86,89,220],"speed,":[87],"nearby":[88],"positions,":[90],"velocity),":[92],"recorded":[94],"throughout":[95],"drives.":[97],"Standard":[98],"pre-":[99],"post-drive":[101],"questionnaires":[102],"were":[103],"also":[104],"administered":[105],"to":[106,182,206],"assess":[107],"participants\u2019":[108],"automation":[111],"overall":[113],"well-being,":[114],"enabling":[115],"correlation":[117],"subjective":[119],"assessments":[120],"responses.":[123],"To":[124],"demonstrate":[125],"utility":[127],"our":[129],"dataset,":[130],"we":[131,176],"evaluated":[132],"various":[133],"machine":[134],"learning":[135],"models":[136,150,158],"using":[142,186],"Our":[145,193],"analysis":[146,188],"showed":[147],"that":[148,180],"tree-based":[149],"like":[151],"Random":[152],"Forest":[153],"XGBoost":[155],"non-linear":[157],"KNN":[161],"MLP":[163],"regressor":[164],"achieved":[165],"best":[167],"performance":[168],"classification":[171],"regression.":[174],"Additionally,":[175],"identified":[177],"key":[178],"features":[179],"contribute":[181],"these":[183],"estimations":[184],"by":[185],"SHAP":[187],"top-performing":[191],"models.":[192],"enables":[195],"development":[197],"adaptive":[199],"AV":[200],"systems":[201],"capable":[202],"dynamically":[204],"responding":[205],"levels":[211],"non-invasively,":[212],"ultimately":[213],"enhancing":[214],"safety,":[215],"experience,":[217],"human-centered":[219],"design.":[221]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-24T00:00:00"}