{"id":"https://openalex.org/W4412602045","doi":"https://doi.org/10.1504/ijwgs.2025.147092","title":"Web-based traditional craft Kansei retrieval method using a machine learning model and feature extraction","display_name":"Web-based traditional craft Kansei retrieval method using a machine learning model and feature extraction","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412602045","doi":"https://doi.org/10.1504/ijwgs.2025.147092"},"language":"en","primary_location":{"id":"doi:10.1504/ijwgs.2025.147092","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijwgs.2025.147092","pdf_url":null,"source":{"id":"https://openalex.org/S200047447","display_name":"International Journal of Web and Grid Services","issn_l":"1741-1106","issn":["1741-1106","1741-1114"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web and Grid Services","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/A5092185829","display_name":"Naho Kuriya","orcid":null},"institutions":[{"id":"https://openalex.org/I100722782","display_name":"Fukuoka Institute of Technology","ror":"https://ror.org/00bmxak18","country_code":"JP","type":"education","lineage":["https://openalex.org/I100722782"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naho Kuriya","raw_affiliation_strings":["Graduate School of Engineering, Fukuoka Institute of Technology, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Fukuoka Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I100722782"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5099722373","display_name":"Kaisei Komoto","orcid":null},"institutions":[{"id":"https://openalex.org/I100722782","display_name":"Fukuoka Institute of Technology","ror":"https://ror.org/00bmxak18","country_code":"JP","type":"education","lineage":["https://openalex.org/I100722782"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaisei Komoto","raw_affiliation_strings":["Graduate School of Engineering, Fukuoka Institute of Technology, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of Engineering, Fukuoka Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I100722782"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5099722374","display_name":"Tomoyuki Ishida","orcid":null},"institutions":[{"id":"https://openalex.org/I100722782","display_name":"Fukuoka Institute of Technology","ror":"https://ror.org/00bmxak18","country_code":"JP","type":"education","lineage":["https://openalex.org/I100722782"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Tomoyuki Ishida","raw_affiliation_strings":["Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan"],"affiliations":[{"raw_affiliation_string":"Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan","institution_ids":["https://openalex.org/I100722782"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5092185829"],"corresponding_institution_ids":["https://openalex.org/I100722782"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22305941,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":"2","first_page":"113","last_page":"137"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.8744999766349792,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T14339","display_name":"Image Processing and 3D Reconstruction","score":0.8672999739646912,"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/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.801800012588501,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7969321608543396},{"id":"https://openalex.org/keywords/craft","display_name":"Craft","score":0.590652585029602},{"id":"https://openalex.org/keywords/kansei","display_name":"Kansei","score":0.5879941582679749},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5505226254463196},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5192165970802307},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.4638075828552246},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.43451449275016785},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.412895143032074},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33368703722953796}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7969321608543396},{"id":"https://openalex.org/C2779732396","wikidata":"https://www.wikidata.org/wiki/Q2207288","display_name":"Craft","level":2,"score":0.590652585029602},{"id":"https://openalex.org/C2781297728","wikidata":"https://www.wikidata.org/wiki/Q1195131","display_name":"Kansei","level":2,"score":0.5879941582679749},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5505226254463196},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5192165970802307},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.4638075828552246},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.43451449275016785},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.412895143032074},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33368703722953796},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1504/ijwgs.2025.147092","is_oa":false,"landing_page_url":"https://doi.org/10.1504/ijwgs.2025.147092","pdf_url":null,"source":{"id":"https://openalex.org/S200047447","display_name":"International Journal of Web and Grid Services","issn_l":"1741-1106","issn":["1741-1106","1741-1114"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web and Grid Services","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2912168137","https://openalex.org/W2771752657","https://openalex.org/W2936836059","https://openalex.org/W2920882006","https://openalex.org/W1567987063","https://openalex.org/W2030429945","https://openalex.org/W2391860589","https://openalex.org/W114878902","https://openalex.org/W2061295771","https://openalex.org/W4385221012"],"abstract_inverted_index":{"In":[0],"a":[1,6,49,60,94],"previous":[2,67],"study,":[3],"we":[4,92],"conducted":[5,93],"Kansei":[7,51,72,124,138],"analysis":[8],"of":[9,33,84,103,115,122,136],"traditional":[10,55],"crafts":[11],"using":[12],"the":[13,37,66,89,104,109,116,120,123,134,137],"semantic":[14],"differential":[15],"method":[16,53,58],"and":[17,81,113,119],"correlated":[18],"visual":[19,26,41],"features":[20,23,39,76],"with":[21,40,97],"physical":[22],"extracted":[24,77],"via":[25],"pattern":[27],"image":[28],"coding":[29],"(VPIC)":[30],"from":[31,78],"images":[32],"craftwork.":[34],"However,":[35],"associating":[36],"VPIC":[38],"attributes":[42],"is":[43],"labour-intensive.":[44],"Therefore,":[45],"this":[46],"study":[47],"proposes":[48],"new":[50],"retrieval":[52,126],"for":[54],"crafts.":[56],"This":[57],"utilises":[59],"machine":[61],"learning":[62],"model":[63],"trained":[64],"on":[65,75],"study's":[68],"data":[69],"to":[70,108,133],"predict":[71],"words":[73],"based":[74],"colour":[79,82],"histograms":[80],"moments":[83],"craft":[85],"images.":[86],"To":[87],"evaluate":[88],"proposed":[90],"method,":[91],"questionnaire":[95],"survey":[96],"52":[98],"university":[99],"students.":[100],"Approximately":[101],"90%":[102],"participants":[105],"responded":[106,131],"positively":[107],"operability,":[110],"visibility,":[111],"relevance,":[112],"effectiveness":[114],"entire":[117],"system,":[118],"functionality":[121,135],"word":[125,139],"function,":[127],"while":[128],"approximately":[129],"20%":[130],"negatively":[132],"prediction":[140],"function.":[141]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
