{"id":"https://openalex.org/W4414064886","doi":"https://doi.org/10.3103/s0146411625700567","title":"The Application of Deep Network and Reinforcement Learning for Art Design in Graphical User Interface Wireframe Generation","display_name":"The Application of Deep Network and Reinforcement Learning for Art Design in Graphical User Interface Wireframe Generation","publication_year":2025,"publication_date":"2025-06-01","ids":{"openalex":"https://openalex.org/W4414064886","doi":"https://doi.org/10.3103/s0146411625700567"},"language":"en","primary_location":{"id":"doi:10.3103/s0146411625700567","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625700567","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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/A5003095039","display_name":"Yun Zhou","orcid":"https://orcid.org/0000-0003-4105-5174"},"institutions":[{"id":"https://openalex.org/I4210134002","display_name":"Shandong University of Art and Design","ror":"https://ror.org/034p36h22","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210134002"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yun Zhou","raw_affiliation_strings":["Design College, Shandong University of Arts, 250300, Jinan, China"],"affiliations":[{"raw_affiliation_string":"Design College, Shandong University of Arts, 250300, Jinan, China","institution_ids":["https://openalex.org/I4210134002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5003095039"],"corresponding_institution_ids":["https://openalex.org/I4210134002"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44240838,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"59","issue":"3","first_page":"402","last_page":"415"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9850999712944031,"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"}},"topics":[{"id":"https://openalex.org/T14254","display_name":"Digital Media and Visual Art","score":0.9850999712944031,"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"}},{"id":"https://openalex.org/T12496","display_name":"Color perception and design","score":0.9573000073432922,"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"}},{"id":"https://openalex.org/T10648","display_name":"Virtual Reality Applications and Impacts","score":0.9301999807357788,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/graphical-user-interface","display_name":"Graphical user interface","score":0.8327000141143799},{"id":"https://openalex.org/keywords/graphical-user-interface-testing","display_name":"Graphical user interface testing","score":0.6455000042915344},{"id":"https://openalex.org/keywords/user-interface","display_name":"User interface","score":0.559499979019165},{"id":"https://openalex.org/keywords/user-interface-design","display_name":"User interface design","score":0.5425999760627747},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4860999882221222},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.4629000127315521},{"id":"https://openalex.org/keywords/10-foot-user-interface","display_name":"10-foot user interface","score":0.4577000141143799},{"id":"https://openalex.org/keywords/interface","display_name":"Interface (matter)","score":0.41659998893737793}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8371000289916992},{"id":"https://openalex.org/C37789001","wikidata":"https://www.wikidata.org/wiki/Q782543","display_name":"Graphical user interface","level":2,"score":0.8327000141143799},{"id":"https://openalex.org/C66153210","wikidata":"https://www.wikidata.org/wiki/Q5597182","display_name":"Graphical user interface testing","level":4,"score":0.6455000042915344},{"id":"https://openalex.org/C89505385","wikidata":"https://www.wikidata.org/wiki/Q47146","display_name":"User interface","level":2,"score":0.559499979019165},{"id":"https://openalex.org/C149229913","wikidata":"https://www.wikidata.org/wiki/Q135707","display_name":"User interface design","level":3,"score":0.5425999760627747},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.527400016784668},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4860999882221222},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.4629000127315521},{"id":"https://openalex.org/C197070257","wikidata":"https://www.wikidata.org/wiki/Q4545902","display_name":"10-foot user interface","level":4,"score":0.4577000141143799},{"id":"https://openalex.org/C113843644","wikidata":"https://www.wikidata.org/wiki/Q901882","display_name":"Interface (matter)","level":4,"score":0.41659998893737793},{"id":"https://openalex.org/C187482481","wikidata":"https://www.wikidata.org/wiki/Q1851756","display_name":"Natural user interface","level":4,"score":0.3880999982357025},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.3652999997138977},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.35120001435279846},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3481999933719635},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.3248000144958496},{"id":"https://openalex.org/C125367622","wikidata":"https://www.wikidata.org/wiki/Q645154","display_name":"Multiple document interface","level":5,"score":0.30660000443458557},{"id":"https://openalex.org/C155846161","wikidata":"https://www.wikidata.org/wiki/Q1143367","display_name":"Graphical model","level":2,"score":0.30140000581741333},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.2992999851703644},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.29649999737739563},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C201025465","wikidata":"https://www.wikidata.org/wiki/Q11248500","display_name":"User experience design","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26989999413490295}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3103/s0146411625700567","is_oa":false,"landing_page_url":"https://doi.org/10.3103/s0146411625700567","pdf_url":null,"source":{"id":"https://openalex.org/S17203304","display_name":"Automatic Control and Computer Sciences","issn_l":"0146-4116","issn":["0146-4116","1558-108X"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320267","host_organization_name":"Pleiades Publishing","host_organization_lineage":["https://openalex.org/P4310320267","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Pleiades Publishing","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Automatic Control and Computer Sciences","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":21,"referenced_works":["https://openalex.org/W3092323705","https://openalex.org/W3108369849","https://openalex.org/W3120609587","https://openalex.org/W3120751998","https://openalex.org/W3131585339","https://openalex.org/W3131597770","https://openalex.org/W3150718622","https://openalex.org/W3153990350","https://openalex.org/W3155739706","https://openalex.org/W3194248796","https://openalex.org/W3197217317","https://openalex.org/W3212204275","https://openalex.org/W3212622989","https://openalex.org/W4205204006","https://openalex.org/W4206958764","https://openalex.org/W4210599520","https://openalex.org/W4226098341","https://openalex.org/W4251751280","https://openalex.org/W4280627581","https://openalex.org/W4285796263","https://openalex.org/W4320494706"],"related_works":["https://openalex.org/W3180179400","https://openalex.org/W2118366689","https://openalex.org/W2039055059","https://openalex.org/W2183494409","https://openalex.org/W2381088774","https://openalex.org/W963721989","https://openalex.org/W2197102099","https://openalex.org/W2116888309","https://openalex.org/W2369004040","https://openalex.org/W2477652530"],"abstract_inverted_index":{"The":[0,87,131,154,178,210],"development":[1,128],"of":[2,33,45,75,104,139,164,173,181,190,199],"graphical":[3,38,46,79,83,93,223],"user":[4,21,39,47,80,84,94,224],"interfaces":[5,48],"has":[6,49,101],"made":[7],"significant":[8],"progress":[9],"in":[10,19,37,52,72,98,118,145,218,238],"the":[11,42,73,92,109,119,127,136,187,196,215],"past":[12],"few":[13],"decades,":[14],"playing":[15],"an":[16],"important":[17],"role":[18],"computer":[20],"experience":[22],"and":[23,41,67,70,82,106,113,122,124,143,151,168,175,195,202,208,233],"human-computer":[24],"interaction.":[25],"However,":[26],"at":[27],"present,":[28],"there":[29],"is":[30,185,193,234],"a":[31,157,222],"lack":[32],"professional":[34],"experienced":[35],"workers":[36],"interfaces,":[40],"art":[43,76,242],"design":[44,77],"low":[50],"attention":[51],"real":[53],"life.":[54],"Therefore,":[55],"this":[56,99,219],"research":[57,155],"introduces":[58],"reinforcement":[59],"learning":[60],"algorithm,":[61],"combines":[62],"it":[63],"with":[64,161,226,240],"deep":[65],"network,":[66],"realizes":[68],"automation":[69],"intelligence":[71],"generation":[74,159],"oriented":[78],"interface":[81,85,95,225],"wireframe.":[86],"test":[88],"results":[89,212],"indicate":[90,213],"that":[91,214],"method":[96,160,216],"proposed":[97],"study":[100,220],"average":[102,133,162,179,188,197],"values":[103,163,198],"0.075":[105],"0.869":[107],"for":[108,126,135],"Fr\u00e9chet":[110,165],"inception":[111,166],"distance":[112,167,205],"one":[114,169],"nearest":[115,170],"neighbor":[116,171],"accuracy":[117,172],"category":[120],"subset,":[121],"0.070":[123],"0.823":[125],"company":[129],"subset.":[130],"comprehensive":[132],"scores":[134],"three":[137],"indicators":[138],"aesthetics,":[140],"color":[141],"coordination,":[142],"structure":[144],"manual":[146,191],"evaluation":[147,192],"are":[148,206],"3.11,":[149],"3.30,":[150],"3.21,":[152],"respectively.":[153,177],"proposes":[156],"wireframe":[158],"0.082":[174],"0.911,":[176],"value":[180],"position":[182],"deviation":[183],"index":[184],"1.018,":[186],"score":[189],"3.32,":[194],"structural":[200],"similarity":[201],"spatial":[203],"Euclidean":[204],"0.363":[207],"3.683.":[209],"experimental":[211],"designed":[217],"generates":[221],"higher":[227],"quality":[228],"than":[229],"traditional":[230],"common":[231],"methods,":[232],"more":[235],"aesthetically":[236],"pleasing,":[237],"line":[239],"popular":[241],"aesthetics.":[243]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
