{"id":"https://openalex.org/W7160268002","doi":"https://doi.org/10.1007/s44163-026-01365-2","title":"Human\u2013machine collaborative model for dynamic translation of intangible cultural heritage patterns based on generative adversarial network and reinforcement learning from human feedback","display_name":"Human\u2013machine collaborative model for dynamic translation of intangible cultural heritage patterns based on generative adversarial network and reinforcement learning from human feedback","publication_year":2026,"publication_date":"2026-05-05","ids":{"openalex":"https://openalex.org/W7160268002","doi":"https://doi.org/10.1007/s44163-026-01365-2"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-026-01365-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01365-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s44163-026-01365-2","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5124798840","display_name":"Ke Ma","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155994","display_name":"Zhengzhou Business University","ror":"https://ror.org/05azzk208","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155994"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ke Ma","raw_affiliation_strings":["School of Art and Design, Zhengzhou University of Economics and Business, Zhengzhou, 451191, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Art and Design, Zhengzhou University of Economics and Business, Zhengzhou, 451191, Henan, China","institution_ids":["https://openalex.org/I4210155994"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135408647","display_name":"Lin Qi","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100011","display_name":"Henan Energy & Chemical Industry Group (China)","ror":"https://ror.org/0149mnh61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210100011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Qi","raw_affiliation_strings":["Henan Province Information Consultation Designing Research Co., Ltd., Zhengzhou, 450003, Henan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Province Information Consultation Designing Research Co., Ltd., Zhengzhou, 450003, Henan, China","institution_ids":["https://openalex.org/I4210100011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5124798840"],"corresponding_institution_ids":["https://openalex.org/I4210155994"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.56291882,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.5274999737739563,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.5274999737739563,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11349","display_name":"Music Technology and Sound Studies","score":0.02930000051856041,"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/T12496","display_name":"Color perception and design","score":0.02879999950528145,"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/generative-grammar","display_name":"Generative grammar","score":0.5752999782562256},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5705000162124634},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4722000062465668},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4620000123977661},{"id":"https://openalex.org/keywords/cultural-heritage","display_name":"Cultural heritage","score":0.4544999897480011},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.45170000195503235},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4041999876499176},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4034999907016754},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3984000086784363}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6261000037193298},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5752999782562256},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5705000162124634},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5375999808311462},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4722000062465668},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4620000123977661},{"id":"https://openalex.org/C60671577","wikidata":"https://www.wikidata.org/wiki/Q210272","display_name":"Cultural heritage","level":2,"score":0.4544999897480011},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.45170000195503235},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4140999913215637},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4041999876499176},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4034999907016754},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3984000086784363},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.3889999985694885},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.3847000002861023},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.37380000948905945},{"id":"https://openalex.org/C184408114","wikidata":"https://www.wikidata.org/wiki/Q1502022","display_name":"Generative Design","level":3,"score":0.3732999861240387},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.3637999892234802},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.3553999960422516},{"id":"https://openalex.org/C2776445246","wikidata":"https://www.wikidata.org/wiki/Q1792644","display_name":"Style (visual arts)","level":2,"score":0.3513999879360199},{"id":"https://openalex.org/C40506919","wikidata":"https://www.wikidata.org/wiki/Q7452469","display_name":"Sequence learning","level":2,"score":0.3246000111103058},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3224000036716461},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.3012999892234802},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2779757391","wikidata":"https://www.wikidata.org/wiki/Q6002292","display_name":"Image translation","level":3,"score":0.28200000524520874},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.26499998569488525},{"id":"https://openalex.org/C2780902518","wikidata":"https://www.wikidata.org/wiki/Q6033780","display_name":"Inheritance (genetic algorithm)","level":3,"score":0.26460000872612},{"id":"https://openalex.org/C149672232","wikidata":"https://www.wikidata.org/wiki/Q337048","display_name":"Adaptive optimization","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-026-01365-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01365-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bd0079268e5a4ee5b443bc564bac7733","is_oa":false,"landing_page_url":"https://doaj.org/article/bd0079268e5a4ee5b443bc564bac7733","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 6, Iss 1 (2026)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-026-01365-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-026-01365-2","pdf_url":null,"source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.622825562953949,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2892796800","https://openalex.org/W3184934237","https://openalex.org/W4213351874","https://openalex.org/W4221053795","https://openalex.org/W4281484041","https://openalex.org/W4289600032","https://openalex.org/W4294862228","https://openalex.org/W4312298537","https://openalex.org/W4318480025","https://openalex.org/W4362701614","https://openalex.org/W4385272245","https://openalex.org/W4386521420","https://openalex.org/W4387339395","https://openalex.org/W4391089630","https://openalex.org/W4392353171","https://openalex.org/W4393315462","https://openalex.org/W4399043317","https://openalex.org/W4399488221","https://openalex.org/W4401513331","https://openalex.org/W4401730946","https://openalex.org/W4402782221","https://openalex.org/W4403658227","https://openalex.org/W4405087922","https://openalex.org/W4411917736","https://openalex.org/W4413619940","https://openalex.org/W4414288789","https://openalex.org/W4416324044"],"related_works":[],"abstract_inverted_index":{"At":[0],"present,":[1],"there":[2],"is":[3,90,132,146,155,188,197,203],"a":[4,28,135,138],"lack":[5],"of":[6,16,51,58,61,66,101,141,152,159,168,177,185,237,251],"cultural":[7,54,186,235,247],"and":[8,56,74,85,94,98,113,144,170,199,226,249],"artistic":[9],"expression":[10],"in":[11],"the":[12,36,49,53,59,72,96,104,127,149,153,160,180,183,192,200,214,220,228,233,238,246],"modern":[13],"design":[14],"transformation":[15],"Intangible":[17],"Cultural":[18],"Heritage":[19],"(ICH)":[20],"patterns.":[21],"For":[22],"this":[23,25],"reason,":[24],"study":[26],"proposes":[27],"dynamic":[29],"translation":[30],"human\u2013machine":[31,67,252],"collaborative":[32],"model":[33,70,108,131,154,216],"that":[34,148,158,213],"combines":[35],"Generative":[37,81],"Adversarial":[38,82],"Network":[39,83],"(GAN)":[40],"with":[41,48,163,223],"Reinforcement":[42],"Learning":[43],"from":[44,205],"Human":[45],"Feedback":[46],"(RLHF),":[47],"aim":[50],"improving":[52],"accuracy":[55],"quality":[57],"generation":[60,128],"ICH":[62,221],"patterns":[63,222],"by":[64],"means":[65],"collaborative.":[68],"The":[69,88,130,209],"includes":[71],"content":[73,229],"style":[75,230],"extraction":[76],"module":[77],"based":[78],"on":[79,134],"conditional":[80],"(cGAN)":[84],"RLHF":[86],"mechanism.":[87],"former":[89],"used":[91],"to":[92,109,117,124,207],"separate":[93],"extract":[95],"structure":[97],"aesthetic":[99],"features":[100],"patterns,":[102,239],"while":[103,231],"latter":[105],"uses":[106],"reward":[107],"learn":[110],"expert":[111],"preferences,":[112],"selects":[114],"near-end":[115],"strategy":[116],"optimize":[118,126],"Proximal":[119],"Policy":[120],"Optimization":[121],"(PPO)":[122],"algorithm":[123],"iteratively":[125],"process.":[129],"verified":[133],"dataset":[136],"containing":[137],"large":[139],"number":[140],"embroidery":[142],"images,":[143],"it":[145],"found":[147],"objective":[150],"index":[151],"better":[156],"than":[157],"contrast":[161],"model,":[162],"Fr\u00e9chet":[164],"Incidence":[165],"Distance":[166],"(FID)":[167],"28.5":[169],"Learned":[171],"Perceptual":[172],"Image":[173],"Patch":[174],"Similarity":[175],"(LPIPS)":[176],"0.162.":[178],"In":[179],"subjective":[181],"evaluation,":[182],"score":[184],"fit":[187],"4.35":[189],"(5-point":[190],"scale),":[191],"designer's":[193],"task":[194],"completion":[195],"time":[196],"shortened,":[198],"cognitive":[201],"load":[202],"reduced":[204],"6.2":[206],"3.1.":[208],"above":[210],"results":[211],"show":[212],"proposed":[215],"can":[217],"effectively":[218],"transform":[219],"high":[224],"quality,":[225],"strengthen":[227],"maintaining":[232],"basic":[234],"characteristics":[236],"which":[240],"provides":[241],"certain":[242],"technical":[243],"ideas":[244],"for":[245],"inheritance":[248],"innovation":[250],"collaboration.":[253]},"counts_by_year":[],"updated_date":"2026-07-17T05:52:16.776730","created_date":"2026-05-06T00:00:00"}
