{"id":"https://openalex.org/W4285340977","doi":"https://doi.org/10.1109/iccicc53683.2021.9811337","title":"Cognitive Driving Data Visualization and Driving Style Transfer","display_name":"Cognitive Driving Data Visualization and Driving Style Transfer","publication_year":2021,"publication_date":"2021-10-29","ids":{"openalex":"https://openalex.org/W4285340977","doi":"https://doi.org/10.1109/iccicc53683.2021.9811337"},"language":"en","primary_location":{"id":"doi:10.1109/iccicc53683.2021.9811337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc53683.2021.9811337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","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/A5043638330","display_name":"Hironori Hiraishi","orcid":"https://orcid.org/0000-0002-0447-9114"},"institutions":[{"id":"https://openalex.org/I100248960","display_name":"Ashikaga University","ror":"https://ror.org/0330rc745","country_code":"JP","type":"education","lineage":["https://openalex.org/I100248960"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Hironori Hiraishi","raw_affiliation_strings":["Ashikaga University,Faculty of Engineering,Ashikaga,Japan,326-8558"],"affiliations":[{"raw_affiliation_string":"Ashikaga University,Faculty of Engineering,Ashikaga,Japan,326-8558","institution_ids":["https://openalex.org/I100248960"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5043638330"],"corresponding_institution_ids":["https://openalex.org/I100248960"],"apc_list":null,"apc_paid":null,"fwci":0.2882,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.58055556,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"92","last_page":"97"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9908999800682068,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9908999800682068,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9894000291824341,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.9246000051498413,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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/computer-science","display_name":"Computer science","score":0.6492457389831543},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.61515873670578},{"id":"https://openalex.org/keywords/style","display_name":"Style (visual arts)","score":0.5247100591659546},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5011239051818848},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.46852821111679077},{"id":"https://openalex.org/keywords/cognitive-style","display_name":"Cognitive style","score":0.45943376421928406},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4287128448486328},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.37685713171958923},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2611176371574402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24218237400054932},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.06859296560287476}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6492457389831543},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.61515873670578},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.5247100591659546},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5011239051818848},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.46852821111679077},{"id":"https://openalex.org/C150681269","wikidata":"https://www.wikidata.org/wiki/Q2380771","display_name":"Cognitive style","level":3,"score":0.45943376421928406},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4287128448486328},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.37685713171958923},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2611176371574402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24218237400054932},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.06859296560287476},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iccicc53683.2021.9811337","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccicc53683.2021.9811337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 20th International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320310903","display_name":"Takahashi Industrial and Economic Research Foundation","ror":"https://ror.org/02nnhm363"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2033119705","https://openalex.org/W2475287302","https://openalex.org/W2553590370","https://openalex.org/W2791962113","https://openalex.org/W2927218441","https://openalex.org/W3031368547","https://openalex.org/W3095312644"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2579659702","https://openalex.org/W2154046714","https://openalex.org/W1965329638","https://openalex.org/W2189613078","https://openalex.org/W1574055964","https://openalex.org/W2923661510","https://openalex.org/W3160708108","https://openalex.org/W1520259327"],"abstract_inverted_index":{"This":[0,38],"study":[1],"proposes":[2],"a":[3,90,96,125,148],"visualization":[4,23],"method":[5],"for":[6,67,143],"imaging":[7],"cognitive":[8,20,36,145],"driving":[9,16,33,68,74,115,122,160],"data,":[10],"which":[11],"records":[12],"data":[13,75],"related":[14],"to":[15,131],"operations":[17,135],"and":[18,35,48,93,133],"drivers’":[19],"states.":[21,37],"The":[22],"yielded":[24],"an":[25,77,83,106,139],"easy":[26],"understanding":[27],"of":[28,31,82,95,105,114,124,138,158],"the":[29,32,56,73,80,103,121,144,156],"characteristics":[30],"operation":[34],"allows":[39],"intuitive":[40],"comparison":[41],"using":[42,61],"images.":[43],"Some":[44],"differences":[45],"between":[46],"novice":[47,97,126,149],"experienced":[49,84,107,140],"drivers":[50],"can":[51,64,86,99,128,165],"be":[52,65,87,100,129,166],"visually":[53],"embossed.":[54],"Furthermore,":[55],"image":[57,81],"style":[58,69,91,104,116,123,157],"transfer":[59,70,117],"algorithm":[60],"deep":[62],"learning":[63],"adopted":[66],"by":[71,102],"representing":[72],"as":[76,89],"image.":[78],"Therefore,":[79],"driver":[85,98,127,150],"used":[88],"image,":[92],"that":[94],"modified":[101,130],"driver.":[108,141],"In":[109],"this":[110],"study,":[111],"some":[112],"trials":[113],"were":[118],"attempted.":[119],"Consequently,":[120],"clear":[132],"smooth":[134],"like":[136],"those":[137],"As":[142],"state,":[146],"although":[147],"has":[151],"always":[152],"felt":[153],"stressed":[154],"up,":[155],"relaxed":[159],"based":[161],"on":[162],"road":[163],"conditions":[164],"applied.":[167]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}