{"id":"https://openalex.org/W2046764236","doi":"https://doi.org/10.4018/ijsi.2014100104","title":"Analysis Method Based on Impression Words for Impression Evaluation Method by Space","display_name":"Analysis Method Based on Impression Words for Impression Evaluation Method by Space","publication_year":2014,"publication_date":"2014-10-01","ids":{"openalex":"https://openalex.org/W2046764236","doi":"https://doi.org/10.4018/ijsi.2014100104","mag":"2046764236"},"language":"en","primary_location":{"id":"doi:10.4018/ijsi.2014100104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2014100104","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Innovation","raw_type":"journal-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/A5019064772","display_name":"Shunsuke Akai","orcid":null},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Shunsuke Akai","raw_affiliation_strings":["Kyoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061039394","display_name":"Teruhisa Hochin","orcid":"https://orcid.org/0000-0001-9067-9237"},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teruhisa Hochin","raw_affiliation_strings":["Kyoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028610136","display_name":"Hiroki Nomiya","orcid":"https://orcid.org/0000-0003-2028-6459"},"institutions":[{"id":"https://openalex.org/I27429435","display_name":"Kyoto Institute of Technology","ror":"https://ror.org/00965ax52","country_code":"JP","type":"education","lineage":["https://openalex.org/I27429435"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Nomiya","raw_affiliation_strings":["Kyoto Institute of Technology, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto Institute of Technology, Kyoto, Japan","institution_ids":["https://openalex.org/I27429435"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019064772"],"corresponding_institution_ids":["https://openalex.org/I27429435"],"apc_list":null,"apc_paid":null,"fwci":0.7644,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.77226248,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"2","issue":"4","first_page":"48","last_page":"59"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9021000266075134,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9021000266075134,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/impression","display_name":"Impression","score":0.9851338863372803},{"id":"https://openalex.org/keywords/kansei","display_name":"Kansei","score":0.7803338766098022},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.5265541076660156},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.48766815662384033},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4876197874546051},{"id":"https://openalex.org/keywords/impression-formation","display_name":"Impression formation","score":0.4627962112426758},{"id":"https://openalex.org/keywords/precedent","display_name":"Precedent","score":0.45052653551101685},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41774994134902954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3355385661125183},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32391953468322754},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.31235793232917786},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.17408284544944763},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.0845070481300354},{"id":"https://openalex.org/keywords/social-perception","display_name":"Social perception","score":0.07912889122962952},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.057979732751846313}],"concepts":[{"id":"https://openalex.org/C2776684213","wikidata":"https://www.wikidata.org/wiki/Q6007582","display_name":"Impression","level":2,"score":0.9851338863372803},{"id":"https://openalex.org/C2781297728","wikidata":"https://www.wikidata.org/wiki/Q1195131","display_name":"Kansei","level":2,"score":0.7803338766098022},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.5265541076660156},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.48766815662384033},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4876197874546051},{"id":"https://openalex.org/C17822864","wikidata":"https://www.wikidata.org/wiki/Q6007588","display_name":"Impression formation","level":4,"score":0.4627962112426758},{"id":"https://openalex.org/C110346835","wikidata":"https://www.wikidata.org/wiki/Q665141","display_name":"Precedent","level":3,"score":0.45052653551101685},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41774994134902954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3355385661125183},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32391953468322754},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.31235793232917786},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.17408284544944763},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0845070481300354},{"id":"https://openalex.org/C129484327","wikidata":"https://www.wikidata.org/wiki/Q177603","display_name":"Social perception","level":3,"score":0.07912889122962952},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.057979732751846313},{"id":"https://openalex.org/C177986884","wikidata":"https://www.wikidata.org/wiki/Q207892","display_name":"Public law","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.4018/ijsi.2014100104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijsi.2014100104","pdf_url":null,"source":{"id":"https://openalex.org/S4210228539","display_name":"International Journal of Software Innovation","issn_l":"2166-7160","issn":["2166-7160","2166-7179"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Software Innovation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W602985745","https://openalex.org/W1967182586","https://openalex.org/W2069736034","https://openalex.org/W2266022109"],"related_works":["https://openalex.org/W106737043","https://openalex.org/W2923707410","https://openalex.org/W2738464927","https://openalex.org/W4250019350","https://openalex.org/W4242349156","https://openalex.org/W2937306211","https://openalex.org/W2392802607","https://openalex.org/W2109047384","https://openalex.org/W2987681157","https://openalex.org/W2053313797"],"abstract_inverted_index":{"This":[0],"paper":[1],"proposes":[2],"an":[3,34,123],"analysis":[4,58,133,143],"method":[5,59],"of":[6,33,47,85,119,122,131,140],"the":[7,12,28,40,43,49,62,69,74,78,86,91,114,117,120,132,138,141],"evaluation":[8,70,92],"results":[9,71,130],"obtained":[10,72],"through":[11,73],"Impression":[13],"Evaluation":[14],"Method":[15],"by":[16,38,53],"Space":[17],"(IEMS).":[18],"The":[19,31,45,56,83,129],"IEMS":[20,75],"uses":[21],"a":[22],"plane":[23],"containing":[24],"impression":[25,32,50,63,79,87,100,104,112,121],"words":[26,64,80,88,101],"as":[27],"Kansei":[29,115],"space.":[30],"object":[35,124],"is":[36,51],"specified":[37],"circling":[39],"areas":[41],"matching":[42,48],"impression.":[44],"degree":[46],"expressed":[52],"painting":[54],"color.":[55],"proposed":[57,142],"focuses":[60],"on":[61],"in":[65,90,113],"order":[66],"to":[67,136],"analyze":[68],"even":[76],"if":[77],"are":[81,93,96,105,134],"moved.":[82],"numbers":[84],"circled":[89],"counted,":[94],"and":[95],"spatially":[97],"displayed.":[98],"As":[99],"having":[102,110],"similar":[103],"placed":[106],"nearer":[107],"than":[108],"those":[109],"different":[111],"space,":[116],"tendency":[118],"can":[125],"easily":[126],"be":[127],"captured.":[128],"reviewed":[135],"show":[137],"effectiveness":[139],"method.":[144]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}