{"id":"https://openalex.org/W2276891501","doi":"https://doi.org/10.1109/coginfocom.2015.7390556","title":"Adaptive user interface for assisting the drivers' decision making","display_name":"Adaptive user interface for assisting the drivers' decision making","publication_year":2015,"publication_date":"2015-10-01","ids":{"openalex":"https://openalex.org/W2276891501","doi":"https://doi.org/10.1109/coginfocom.2015.7390556","mag":"2276891501"},"language":"en","primary_location":{"id":"doi:10.1109/coginfocom.2015.7390556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2015.7390556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","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/A5011390090","display_name":"Joni J\u00e4ms\u00e4","orcid":null},"institutions":[{"id":"https://openalex.org/I103547593","display_name":"Centria University of Applied Sciences","ror":"https://ror.org/02t9b8973","country_code":"FI","type":"education","lineage":["https://openalex.org/I103547593"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Joni Jamsa","raw_affiliation_strings":["RFMedia Laboratory Centria University of Applied Sciences, Ylivieska, Finland"],"affiliations":[{"raw_affiliation_string":"RFMedia Laboratory Centria University of Applied Sciences, Ylivieska, Finland","institution_ids":["https://openalex.org/I103547593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063999558","display_name":"Heidi Kaartinen","orcid":"https://orcid.org/0009-0005-2034-5799"},"institutions":[{"id":"https://openalex.org/I103547593","display_name":"Centria University of Applied Sciences","ror":"https://ror.org/02t9b8973","country_code":"FI","type":"education","lineage":["https://openalex.org/I103547593"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Heidi Kaartinen","raw_affiliation_strings":["RFMedia Laboratory Centria University of Applied Sciences, Ylivieska, Finland"],"affiliations":[{"raw_affiliation_string":"RFMedia Laboratory Centria University of Applied Sciences, Ylivieska, Finland","institution_ids":["https://openalex.org/I103547593"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5011390090"],"corresponding_institution_ids":["https://openalex.org/I103547593"],"apc_list":null,"apc_paid":null,"fwci":0.3409,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67291516,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"17","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13382","display_name":"Robotics and Automated Systems","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.9782999753952026,"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/T12784","display_name":"Modular Robots and Swarm Intelligence","score":0.9760000109672546,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/dashboard","display_name":"Dashboard","score":0.7720407843589783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7415934205055237},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.6311082243919373},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.5903832912445068},{"id":"https://openalex.org/keywords/android","display_name":"Android (operating system)","score":0.5244615077972412},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.47867804765701294},{"id":"https://openalex.org/keywords/instrumentation","display_name":"Instrumentation (computer programming)","score":0.4694380760192871},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.41800838708877563},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.4133763313293457},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.3509901463985443},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.2791375517845154},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09202182292938232}],"concepts":[{"id":"https://openalex.org/C33499554","wikidata":"https://www.wikidata.org/wiki/Q1417134","display_name":"Dashboard","level":2,"score":0.7720407843589783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7415934205055237},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.6311082243919373},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.5903832912445068},{"id":"https://openalex.org/C557433098","wikidata":"https://www.wikidata.org/wiki/Q94","display_name":"Android (operating system)","level":2,"score":0.5244615077972412},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.47867804765701294},{"id":"https://openalex.org/C118530786","wikidata":"https://www.wikidata.org/wiki/Q1134732","display_name":"Instrumentation (computer programming)","level":2,"score":0.4694380760192871},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.41800838708877563},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.4133763313293457},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.3509901463985443},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.2791375517845154},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09202182292938232},{"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":1,"locations":[{"id":"doi:10.1109/coginfocom.2015.7390556","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coginfocom.2015.7390556","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 6th IEEE International Conference on Cognitive Infocommunications (CogInfoCom)","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":0.6100000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321855","display_name":"Tekes","ror":"https://ror.org/02ag8cq23"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2185859000","https://openalex.org/W2542542294","https://openalex.org/W2546479711","https://openalex.org/W2555300381","https://openalex.org/W6686508619","https://openalex.org/W6729797763"],"related_works":["https://openalex.org/W2607236244","https://openalex.org/W2382083831","https://openalex.org/W2169792944","https://openalex.org/W3048913176","https://openalex.org/W4386891374","https://openalex.org/W4292603292","https://openalex.org/W562823126","https://openalex.org/W2106037662","https://openalex.org/W2165392093","https://openalex.org/W1530419332"],"abstract_inverted_index":{"In":[0],"this":[1],"demonstration":[2],"paper,":[3],"we":[4],"will":[5],"present":[6],"our":[7],"adaptive":[8],"user":[9,53],"interface":[10,54,103],"for":[11,28,97],"replacing":[12],"a":[13,30],"vehicle's":[14,31,44],"conventional":[15,32],"dashboard.":[16],"A":[17],"programmable":[18],"tablet":[19],"computer":[20],"with":[21,85],"the":[22,43,57,65,78,86,90,107],"Android":[23],"operating":[24],"system":[25],"was":[26],"utilized":[27],"displaying":[29],"instrumentation":[33],"data":[34,58,80],"and":[35,63,83],"navigation":[36],"guidance,":[37],"as":[38,40],"well":[39],"notifications":[41],"from":[42,60],"local":[45],"safety":[46],"sensors":[47],"or":[48],"external":[49],"infrastructure.":[50],"The":[51,94],"developed":[52],"reacts":[55],"to":[56,110],"received":[59],"various":[61],"sources":[62],"displays":[64],"most":[66],"relevant":[67],"information":[68,88],"in":[69,102],"each":[70],"case.":[71],"When":[72],"unsafe":[73],"situation":[74,91],"occurs,":[75],"some":[76],"of":[77],"regular":[79],"is":[81,92,100],"hidden":[82],"replaced":[84],"crucial":[87],"until":[89],"over.":[93],"priority":[95],"ranking":[96],"potential":[98],"occurrences":[99],"programmed":[101],"routines":[104],"that":[105],"choose":[106],"correct":[108],"layout":[109],"display.":[111]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}