{"id":"https://openalex.org/W7136638378","doi":"https://doi.org/10.1109/itsc60802.2025.11423689","title":"Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback","display_name":"Characterizing Human Feedback-Based Control in Naturalistic Driving Interactions via Gaussian Process Regression with Linear Feedback","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W7136638378","doi":"https://doi.org/10.1109/itsc60802.2025.11423689"},"language":null,"primary_location":{"id":"doi:10.1109/itsc60802.2025.11423689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-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/A5116424209","display_name":"Rachel DiPirro","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095354","display_name":"Abqmr (United States)","ror":"https://ror.org/00p0vea65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095354"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rachel DiPirro","raw_affiliation_strings":["Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM"],"affiliations":[{"raw_affiliation_string":"Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM","institution_ids":["https://openalex.org/I4210095354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5129410736","display_name":"Rosalyn Devonport","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095354","display_name":"Abqmr (United States)","ror":"https://ror.org/00p0vea65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095354"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rosalyn Devonport","raw_affiliation_strings":["Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM"],"affiliations":[{"raw_affiliation_string":"Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM","institution_ids":["https://openalex.org/I4210095354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090945340","display_name":"Dan Calderone","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095354","display_name":"Abqmr (United States)","ror":"https://ror.org/00p0vea65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095354"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Calderone","raw_affiliation_strings":["Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM"],"affiliations":[{"raw_affiliation_string":"Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM","institution_ids":["https://openalex.org/I4210095354"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113385669","display_name":"Chishang Yang","orcid":null},"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":"Chishang Yang","raw_affiliation_strings":["Information Science, Cornell Tech,New York,NY,10044"],"affiliations":[{"raw_affiliation_string":"Information Science, Cornell Tech,New York,NY,10044","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016068576","display_name":"Wendy Ju","orcid":"https://orcid.org/0000-0002-3119-611X"},"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":"Wendy Ju","raw_affiliation_strings":["Information Science, Cornell Tech,New York,NY,10044"],"affiliations":[{"raw_affiliation_string":"Information Science, Cornell Tech,New York,NY,10044","institution_ids":["https://openalex.org/I205783295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070060161","display_name":"Meeko Oishi","orcid":"https://orcid.org/0000-0003-3722-8837"},"institutions":[{"id":"https://openalex.org/I4210095354","display_name":"Abqmr (United States)","ror":"https://ror.org/00p0vea65","country_code":"US","type":"company","lineage":["https://openalex.org/I4210095354"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Meeko Oishi","raw_affiliation_strings":["Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM"],"affiliations":[{"raw_affiliation_string":"Univ. of New Mexico,Electrical &#x0026; Comp. Eng.,Abq.,NM","institution_ids":["https://openalex.org/I4210095354"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5116424209"],"corresponding_institution_ids":["https://openalex.org/I4210095354"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86480017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"747","last_page":"754"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.40369999408721924,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12814","display_name":"Gaussian Processes and Bayesian Inference","score":0.40369999408721924,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12125","display_name":"Aerospace and Aviation Technology","score":0.15790000557899475,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.11659999936819077,"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/process","display_name":"Process (computing)","score":0.5530999898910522},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5038999915122986},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.45489999651908875},{"id":"https://openalex.org/keywords/linear-regression","display_name":"Linear regression","score":0.40389999747276306},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.40220001339912415},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.39430001378059387},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3546999990940094}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5530999898910522},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5414000153541565},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5038999915122986},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40619999170303345},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.40389999747276306},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.40220001339912415},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C3018651601","wikidata":"https://www.wikidata.org/wiki/Q183635","display_name":"Feedback control","level":2,"score":0.33980000019073486},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.335999995470047},{"id":"https://openalex.org/C155386361","wikidata":"https://www.wikidata.org/wiki/Q1649571","display_name":"Process control","level":3,"score":0.3301999866962433},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.322299987077713},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.28600001335144043},{"id":"https://openalex.org/C163175372","wikidata":"https://www.wikidata.org/wiki/Q3339222","display_name":"Linear model","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.274399995803833},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.26010000705718994},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.25200000405311584}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/itsc60802.2025.11423689","is_oa":false,"landing_page_url":"https://doi.org/10.1109/itsc60802.2025.11423689","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 28th International Conference on Intelligent Transportation Systems (ITSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5558270716","display_name":null,"funder_award_id":"2227338,IIS-2107111","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1480376833","https://openalex.org/W1502922572","https://openalex.org/W2089253351","https://openalex.org/W2139622428","https://openalex.org/W2162861030","https://openalex.org/W2411577903","https://openalex.org/W2527707434","https://openalex.org/W2568770873","https://openalex.org/W2580495915","https://openalex.org/W2735275921","https://openalex.org/W2735318784","https://openalex.org/W2787765181","https://openalex.org/W2800727637","https://openalex.org/W3011630888","https://openalex.org/W3108957893","https://openalex.org/W4213441015","https://openalex.org/W4394828296","https://openalex.org/W4402443456","https://openalex.org/W4408698708"],"related_works":[],"abstract_inverted_index":{"Understanding":[0],"driver":[1,57,96],"interactions":[2,21],"is":[3],"critical":[4],"to":[5,9],"designing":[6],"autonomous":[7],"vehicles":[8],"interoperate":[10],"safely":[11],"with":[12],"humandriven":[13],"cars.":[14],"We":[15,69,86,98],"consider":[16],"the":[17,23,38,55,71,75,90,125],"impact":[18],"of":[19,40,74,81,107,114,127],"these":[20,51,103],"on":[22],"policies":[24,119],"drivers":[25,116],"employ":[26],"when":[27],"navigating":[28],"unsigned":[29],"intersections":[30],"in":[31,46,95,102,111,124],"a":[32,47,78],"driving":[33],"simulator.":[34],"The":[35],"simulator":[36],"allows":[37],"collection":[39],"naturalistic":[41],"decision-making":[42],"and":[43,83],"behavior":[44],"data":[45],"controlled":[48],"environment.":[49],"Using":[50],"data,":[52],"we":[53],"model":[54],"human":[56],"responses":[58],"as":[59],"state-based":[60],"feedback":[61,72],"controllers":[62,104],"learned":[63],"via":[64],"Gaussian":[65],"Process":[66],"regression":[67],"methods.":[68],"compute":[70],"gain":[73],"controller":[76],"using":[77],"weighted":[79],"combination":[80],"linear":[82],"nonlinear":[84],"priors.":[85],"then":[87],"analyze":[88],"how":[89,115],"individual":[91],"gains":[92],"are":[93],"reflected":[94],"behavior.":[97],"also":[99],"assess":[100],"differences":[101],"across":[105],"populations":[106],"drivers.":[108],"Our":[109],"work":[110,123],"data-driven":[112],"analyses":[113],"determine":[117],"their":[118],"can":[120],"facilitate":[121],"future":[122],"design":[126],"socially":[128],"responsive":[129],"autonomy":[130],"for":[131],"vehicles.":[132]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-03-17T00:00:00"}
