{"id":"https://openalex.org/W2175220138","doi":"https://doi.org/10.1109/models.2015.7338269","title":"Modeling user intentions for in-car infotainment systems using Bayesian networks","display_name":"Modeling user intentions for in-car infotainment systems using Bayesian networks","publication_year":2015,"publication_date":"2015-09-01","ids":{"openalex":"https://openalex.org/W2175220138","doi":"https://doi.org/10.1109/models.2015.7338269","mag":"2175220138"},"language":"en","primary_location":{"id":"doi:10.1109/models.2015.7338269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/models.2015.7338269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)","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/A5068392711","display_name":"Daniel L\u00fcddecke","orcid":null},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Daniel Luddecke","raw_affiliation_strings":["Volkswagen AG, Group Research, Wolfsburg, Germany"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG, Group Research, Wolfsburg, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073106224","display_name":"Christoph Seidl","orcid":"https://orcid.org/0000-0003-4539-8297"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Christoph Seidl","raw_affiliation_strings":["Technische Universitat Braunschweig, Braunschweig, Niedersachsen, DE"],"affiliations":[{"raw_affiliation_string":"Technische Universitat Braunschweig, Braunschweig, Niedersachsen, DE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030066648","display_name":"Jens Schneider","orcid":"https://orcid.org/0000-0002-0546-2816"},"institutions":[{"id":"https://openalex.org/I1319473763","display_name":"Volkswagen Group (Germany)","ror":"https://ror.org/01f3bhg26","country_code":"DE","type":"company","lineage":["https://openalex.org/I1319473763"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jens Schneider","raw_affiliation_strings":["Volkswagen AG, Group Research, Wolfsburg, Germany"],"affiliations":[{"raw_affiliation_string":"Volkswagen AG, Group Research, Wolfsburg, Germany","institution_ids":["https://openalex.org/I1319473763"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065261670","display_name":"Ina Schaefer","orcid":"https://orcid.org/0000-0002-7153-761X"},"institutions":[{"id":"https://openalex.org/I94509681","display_name":"Technische Universit\u00e4t Braunschweig","ror":"https://ror.org/010nsgg66","country_code":"DE","type":"education","lineage":["https://openalex.org/I94509681"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Ina Schaefer","raw_affiliation_strings":["Technische Universit\u00e4t Braunschweig, Braunschweig, Germany"],"affiliations":[{"raw_affiliation_string":"Technische Universit\u00e4t Braunschweig, Braunschweig, Germany","institution_ids":["https://openalex.org/I94509681"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5068392711"],"corresponding_institution_ids":["https://openalex.org/I1319473763"],"apc_list":null,"apc_paid":null,"fwci":0.8629,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.82560068,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"385"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9923999905586243,"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/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9923999905586243,"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9905999898910522,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11719","display_name":"Data Quality and Management","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.789546012878418},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.605215847492218},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.5754542350769043},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.5719139575958252},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.55115807056427},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.40728023648262024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1672101616859436}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.789546012878418},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.605215847492218},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.5754542350769043},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.5719139575958252},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.55115807056427},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.40728023648262024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1672101616859436},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"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/models.2015.7338269","is_oa":false,"landing_page_url":"https://doi.org/10.1109/models.2015.7338269","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 ACM/IEEE 18th International Conference on Model Driven Engineering Languages and Systems (MODELS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.47999998927116394}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W155097506","https://openalex.org/W227260192","https://openalex.org/W1510817841","https://openalex.org/W1551715771","https://openalex.org/W1570780293","https://openalex.org/W1574222638","https://openalex.org/W1989810136","https://openalex.org/W1994828125","https://openalex.org/W2008906462","https://openalex.org/W2030418992","https://openalex.org/W2055496638","https://openalex.org/W2066365352","https://openalex.org/W2087832790","https://openalex.org/W2102593338","https://openalex.org/W2104425135","https://openalex.org/W2116817369","https://openalex.org/W2122701761","https://openalex.org/W2142293039","https://openalex.org/W2164933843","https://openalex.org/W3191596906","https://openalex.org/W3201444869","https://openalex.org/W4206520889","https://openalex.org/W4230900352","https://openalex.org/W4236354166","https://openalex.org/W6606330063","https://openalex.org/W6630582740","https://openalex.org/W6634153475","https://openalex.org/W6634504873","https://openalex.org/W6681078786","https://openalex.org/W6684276877","https://openalex.org/W6801407141"],"related_works":["https://openalex.org/W1608278265","https://openalex.org/W2097677915","https://openalex.org/W1186135329","https://openalex.org/W1498430983","https://openalex.org/W2047602962","https://openalex.org/W2154641962","https://openalex.org/W2186453640","https://openalex.org/W3097319984","https://openalex.org/W2562172105","https://openalex.org/W1833779271"],"abstract_inverted_index":{"To":[0],"support":[1,86],"users":[2,100],"in":[3,65],"operating":[4],"a":[5,9,78,124],"computer":[6],"system":[7],"with":[8],"varying":[10],"set":[11],"of":[12,30,88,99,110,126,133,140],"functions,":[13],"it":[14],"is":[15,35,44,56],"fundamental":[16],"to":[17,95,102],"understand":[18],"their":[19],"intentions,":[20],"e.g.,":[21],"within":[22],"an":[23,74,137,141],"in-car":[24,32,89,143],"infotainment":[25,33,90,144],"system.":[26,145],"Although":[27],"the":[28,103,116,127],"development":[29,62],"current":[31,104],"systems":[34,91],"already":[36],"model-based,":[37],"explicitly":[38],"gathering":[39],"and":[40,59,113],"modeling":[41,77,109],"user":[42,54,111],"intentions":[43,55,98,118],"currently":[45],"not":[46],"supported.":[47],"However,":[48],"manually":[49],"creating":[50],"software":[51],"that":[52],"predicts":[53],"complex,":[57],"error-prone":[58],"expensive.":[60],"Model-based":[61],"can":[63],"help":[64],"overcoming":[66],"these":[67],"issues.":[68],"In":[69],"this":[70],"paper,":[71],"we":[72],"present":[73],"approach":[75,135],"for":[76],"user's":[79,128],"intention":[80],"based":[81],"on":[82],"Bayesian":[83],"networks.":[84],"We":[85,106,130],"developers":[87],"by":[92],"providing":[93],"means":[94],"model":[96],"possible":[97],"according":[101],"situation.":[105],"further":[107],"allow":[108],"preferences":[112],"show":[114],"how":[115],"modeled":[117],"may":[119],"change":[120],"during":[121],"run-time":[122],"as":[123],"result":[125],"behavior.":[129],"demonstrate":[131],"feasibility":[132],"our":[134],"using":[136],"industrial":[138],"example":[139],"intention-aware":[142]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}