{"id":"https://openalex.org/W4283775936","doi":"https://doi.org/10.1145/3503252.3534363","title":"Personalized, context-aware communication in multimodal public transport","display_name":"Personalized, context-aware communication in multimodal public transport","publication_year":2022,"publication_date":"2022-07-01","ids":{"openalex":"https://openalex.org/W4283775936","doi":"https://doi.org/10.1145/3503252.3534363"},"language":"en","primary_location":{"id":"doi:10.1145/3503252.3534363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503252.3534363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization","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/A5013975924","display_name":"Anouk van Kasteren","orcid":"https://orcid.org/0000-0001-7134-233X"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Anouk van Kasteren","raw_affiliation_strings":["Utrecht University, Netherlands"],"affiliations":[{"raw_affiliation_string":"Utrecht University, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020158296","display_name":"Marloes Vredenborg","orcid":"https://orcid.org/0000-0001-5724-6851"},"institutions":[{"id":"https://openalex.org/I193662353","display_name":"Utrecht University","ror":"https://ror.org/04pp8hn57","country_code":"NL","type":"education","lineage":["https://openalex.org/I193662353"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Marloes Vredenborg","raw_affiliation_strings":["Utrecht University, Netherlands"],"affiliations":[{"raw_affiliation_string":"Utrecht University, Netherlands","institution_ids":["https://openalex.org/I193662353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013975924"],"corresponding_institution_ids":["https://openalex.org/I193662353"],"apc_list":null,"apc_paid":null,"fwci":0.4075,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.59009389,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"326","last_page":"330"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9962000250816345,"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"}},"topics":[{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9962000250816345,"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10803","display_name":"Innovative Human-Technology Interaction","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/personalization","display_name":"Personalization","score":0.7929431200027466},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.7141734957695007},{"id":"https://openalex.org/keywords/public-transport","display_name":"Public transport","score":0.6514341235160828},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5868639349937439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.584272563457489},{"id":"https://openalex.org/keywords/autonomy","display_name":"Autonomy","score":0.5652235150337219},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5608012080192566},{"id":"https://openalex.org/keywords/context-model","display_name":"Context model","score":0.45079946517944336},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.43979620933532715},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.426372230052948},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.24855929613113403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.198600172996521},{"id":"https://openalex.org/keywords/transport-engineering","display_name":"Transport engineering","score":0.16452983021736145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09421709179878235},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.08135771751403809}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7929431200027466},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.7141734957695007},{"id":"https://openalex.org/C539828613","wikidata":"https://www.wikidata.org/wiki/Q178512","display_name":"Public transport","level":2,"score":0.6514341235160828},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5868639349937439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.584272563457489},{"id":"https://openalex.org/C65414064","wikidata":"https://www.wikidata.org/wiki/Q484105","display_name":"Autonomy","level":2,"score":0.5652235150337219},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5608012080192566},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.45079946517944336},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.43979620933532715},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.426372230052948},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.24855929613113403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.198600172996521},{"id":"https://openalex.org/C22212356","wikidata":"https://www.wikidata.org/wiki/Q775325","display_name":"Transport engineering","level":1,"score":0.16452983021736145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09421709179878235},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.08135771751403809},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3503252.3534363","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503252.3534363","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization","raw_type":"proceedings-article"},{"id":"pmh:uu:oai:dspace.library.uu.nl:1874/423159","is_oa":false,"landing_page_url":"https://dspace.library.uu.nl/handle/1874/423159","pdf_url":null,"source":{"id":"https://openalex.org/S4306401843","display_name":"Data Archiving and Networked Services (DANS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1322597698","host_organization_name":"Royal Netherlands Academy of Arts and Sciences","host_organization_lineage":["https://openalex.org/I1322597698"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"UMAP2022 - Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 326. Association for Computing Machinery","raw_type":"info:eu-repo/semantics/bookpart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W600192344","https://openalex.org/W1882088395","https://openalex.org/W2004266286","https://openalex.org/W2018053372","https://openalex.org/W2032468592","https://openalex.org/W2061435748","https://openalex.org/W2074833989","https://openalex.org/W2164050311","https://openalex.org/W2191050315","https://openalex.org/W2218142390","https://openalex.org/W2238972395","https://openalex.org/W2239171736","https://openalex.org/W2581668555","https://openalex.org/W2893081576","https://openalex.org/W2910807252","https://openalex.org/W2921872196","https://openalex.org/W2953071387","https://openalex.org/W2960280525","https://openalex.org/W3030892280","https://openalex.org/W3032875465","https://openalex.org/W3041250313","https://openalex.org/W3042089423","https://openalex.org/W3043119829","https://openalex.org/W3115331297","https://openalex.org/W3118615836","https://openalex.org/W3138949148","https://openalex.org/W3157266092","https://openalex.org/W3184270088","https://openalex.org/W4233882810"],"related_works":["https://openalex.org/W2109940557","https://openalex.org/W2466832359","https://openalex.org/W3040708694","https://openalex.org/W3172493050","https://openalex.org/W1582019636","https://openalex.org/W1499005795","https://openalex.org/W2593798266","https://openalex.org/W2070126461","https://openalex.org/W4385420271","https://openalex.org/W4312192618"],"abstract_inverted_index":{"The":[0,135],"way":[1],"we":[2],"experience":[3,49],"time":[4,19,122],"is":[5],"based":[6,96],"on":[7,97],"its":[8],"psychological":[9],"value.":[10],"Time":[11],"spent":[12],"efficiently":[13],"or":[14],"pleasantly":[15],"positively":[16],"influences":[17],"the":[18,46,74,121,129,143],"experience.":[20],"When":[21],"choosing":[22],"a":[23,80],"transportation":[24],"mode,":[25],"people":[26],"highly":[27],"value":[28],"flexibility,":[29],"reliability,":[30],"and":[31,54,102,114,141],"autonomy.":[32],"Public":[33],"transport,":[34],"although":[35],"used":[36],"frequently,":[37],"does":[38],"not":[39],"always":[40],"fulfill":[41],"these":[42],"values.":[43],"With":[44],"personalization,":[45],"public":[47,62,87,117],"transport":[48,63,118],"could":[50],"become":[51],"more":[52],"efficient":[53],"pleasant.":[55],"This":[56],"Ph.D.":[57],"research":[58],"aims":[59],"to":[60,109,116],"personalize":[61],"information":[64],"systems":[65],"(PTIS)":[66],"through":[67],"context-aware":[68,111],"communication.":[69],"To":[70],"achieve":[71],"this":[72,107],"goal,":[73],"following":[75],"activities":[76],"are":[77],"planned:":[78],"(1)":[79],"systematic":[81],"literature":[82],"review":[83],"of":[84,123,128],"personalization":[85],"in":[86],"transport;":[88],"(2)":[89],"creating":[90],"an":[91,125],"elaborate":[92],"passenger":[93],"context":[94,130],"model":[95,108,131],"existing":[98],"literature,":[99],"expert":[100],"reviews,":[101],"user":[103],"studies;":[104],"(3)":[105],"applying":[106],"offer":[110],"information,":[112],"advice,":[113],"inspiration":[115],"passengers.":[119],"At":[120],"writing,":[124],"initial":[126],"version":[127],"has":[132],"been":[133],"produced.":[134],"next":[136],"step":[137],"will":[138],"be":[139],"validating":[140],"improving":[142],"model.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-17T09:09:15.849793","created_date":"2025-10-10T00:00:00"}