{"id":"https://openalex.org/W4392981427","doi":"https://doi.org/10.1109/icaiic60209.2024.10463404","title":"An Empirical Study on the Psychological Improvement Effects and Satisfaction of Korean Traditional Painting Generative AI","display_name":"An Empirical Study on the Psychological Improvement Effects and Satisfaction of Korean Traditional Painting Generative AI","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392981427","doi":"https://doi.org/10.1109/icaiic60209.2024.10463404"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5088891802","display_name":"Ohbyung Kwon","orcid":"https://orcid.org/0000-0001-9686-6586"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Ohbyung Kwon","raw_affiliation_strings":["Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108827108","display_name":"Sujin Bae","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sujin Bae","raw_affiliation_strings":["Kyung Hee University,Department of Management,Seoul,Republic of Korea","Department of Management, Kyung Hee University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Management,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Management, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101807817","display_name":"Dongjae Lee","orcid":"https://orcid.org/0000-0001-9780-1231"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dongjae Lee","raw_affiliation_strings":["ALLBIGDAT Inc.,Management Strategy,Seoul,Republic of Korea","Management Strategy, ALLBIGDAT Inc., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"ALLBIGDAT Inc.,Management Strategy,Seoul,Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"Management Strategy, ALLBIGDAT Inc., Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101638095","display_name":"Kyuho Lee","orcid":"https://orcid.org/0000-0001-9325-3717"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kyuho Lee","raw_affiliation_strings":["ALLBIGDAT Inc.,Software Development,Seoul,Republic of Korea","Software Development, ALLBIGDAT Inc., Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"ALLBIGDAT Inc.,Software Development,Seoul,Republic of Korea","institution_ids":[]},{"raw_affiliation_string":"Software Development, ALLBIGDAT Inc., Seoul, Republic of Korea","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113147462","display_name":"Ryunhee Choi","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ryunhee Choi","raw_affiliation_strings":["Kyung Hee University,Department of Management,Seoul,Republic of Korea","Department of Management, Kyung Hee University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Management,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Management, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101083898","display_name":"Kyunghwa Hwang","orcid":null},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Kyunghwa Hwang","raw_affiliation_strings":["Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054519910","display_name":"Seongjun Kwon","orcid":"https://orcid.org/0009-0002-3066-9365"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongjun Kwon","raw_affiliation_strings":["Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412362","display_name":"Taeyoung Kim","orcid":"https://orcid.org/0000-0002-1894-6596"},"institutions":[{"id":"https://openalex.org/I35928602","display_name":"Kyung Hee University","ror":"https://ror.org/01zqcg218","country_code":"KR","type":"education","lineage":["https://openalex.org/I35928602"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Taeyoung Kim","raw_affiliation_strings":["Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Kyung Hee University,Department of Big Data Analytics,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I35928602"]},{"raw_affiliation_string":"Department of Big Data Analytics, Kyung Hee University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I35928602"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5088891802"],"corresponding_institution_ids":["https://openalex.org/I35928602"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.04202243,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"135","last_page":"140"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.9908999800682068,"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"}},"topics":[{"id":"https://openalex.org/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.9908999800682068,"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"}},{"id":"https://openalex.org/T13413","display_name":"Cultural and Historical Studies","score":0.9878000020980835,"subfield":{"id":"https://openalex.org/subfields/1213","display_name":"Visual Arts and Performing Arts"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14233","display_name":"Diverse Topics in Contemporary Research","score":0.9785000085830688,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6604219675064087},{"id":"https://openalex.org/keywords/painting","display_name":"Painting","score":0.5158833265304565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4723195731639862},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.4708378314971924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4095311760902405},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3963463008403778},{"id":"https://openalex.org/keywords/visual-arts","display_name":"Visual arts","score":0.17589101195335388},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13144320249557495},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.12255406379699707},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09108296036720276}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6604219675064087},{"id":"https://openalex.org/C205783811","wikidata":"https://www.wikidata.org/wiki/Q11629","display_name":"Painting","level":2,"score":0.5158833265304565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4723195731639862},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.4708378314971924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4095311760902405},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3963463008403778},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","level":1,"score":0.17589101195335388},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13144320249557495},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.12255406379699707},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09108296036720276}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463404","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463404","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1553382896","https://openalex.org/W2112741432","https://openalex.org/W2887016247","https://openalex.org/W2889450228","https://openalex.org/W2946220758","https://openalex.org/W3042929212","https://openalex.org/W3100471279","https://openalex.org/W3183740812","https://openalex.org/W3217315014","https://openalex.org/W4225115543","https://openalex.org/W4291202484","https://openalex.org/W4313485001","https://openalex.org/W4318940736","https://openalex.org/W4319756926","https://openalex.org/W4372204067","https://openalex.org/W4385071300","https://openalex.org/W4386398523","https://openalex.org/W4386419658"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2580687016","https://openalex.org/W2886265999","https://openalex.org/W2383951830","https://openalex.org/W1591565242","https://openalex.org/W2369092230","https://openalex.org/W2357187602","https://openalex.org/W2940819518","https://openalex.org/W2233552742","https://openalex.org/W2389267382"],"abstract_inverted_index":{"Recent":[0],"advancements":[1],"in":[2,47,134],"generative":[3,24,45,80,105,119,131],"AI":[4,25,46,81,106,132],"technology":[5],"have":[6],"made":[7],"it":[8,154],"possible":[9],"to":[10,51,95,108],"generate":[11],"art":[12,48],"pieces":[13],"for":[14,43,111],"traditional":[15,121],"Korean":[16,122],"painting":[17,123],"as":[18,29,31,176],"well.":[19],"Visual":[20],"image":[21],"generation":[22],"through":[23,32,104],"can":[26],"occur":[27],"autonomously":[28],"well":[30],"co-creation":[33],"with":[34,168],"creators.":[35],"This":[36],"technological":[37],"progress":[38],"has":[39,82],"opened":[40],"up":[41],"possibilities":[42],"utilizing":[44],"therapy,":[49],"aiming":[50],"achieve":[52],"psychological":[53,71,109,142],"well-being":[54],"during":[55],"the":[56,64,68,75,89,99,118,141,149,173,187,189,191],"creation":[57,77,100],"or":[58,62,113],"appreciation":[59],"of":[60,70,91,101,144],"artworks":[61],"improving":[63],"therapeutic":[65],"process.":[66],"However,":[67],"measurement":[69],"improvement":[72,110],"resulting":[73],"from":[74],"collaborative":[76,169],"process":[78],"using":[79],"not":[83],"been":[84],"attempted":[85],"thus":[86],"far.":[87],"Therefore,":[88],"purpose":[90],"this":[92],"study":[93],"is":[94],"experimentally":[96],"ascertain":[97],"whether":[98],"visual":[102],"images":[103],"leads":[107],"creators":[112],"viewers.":[114],"40":[115],"participants":[116],"experienced":[117],"AI-based":[120],"experience":[124],"web":[125],"developed":[126],"by":[127],"ALLBIGDAT":[128],"Inc,":[129],"a":[130,138,152,162,177],"company":[133],"Korea,":[135],"and":[136,147,159],"conducted":[137],"survey":[139],"on":[140,165],"state":[143],"each":[145],"before":[146],"after":[148],"experience.":[150],"As":[151],"result,":[153],"was":[155],"found":[156],"that":[157,186],"imperfections":[158],"serendipity":[160],"had":[161],"significant":[163,183],"effect":[164],"enhancing":[166],"satisfaction":[167],"creations.":[170],"In":[171],"addition,":[172],"age":[174],"considered":[175],"control":[178],"factor":[179],"also":[180],"showed":[181],"statistically":[182],"results,":[184],"indicating":[185],"higher":[188,192],"age,":[190],"user's":[193],"satisfaction.":[194]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
