{"id":"https://openalex.org/W7128701648","doi":"https://doi.org/10.1109/tlt.2026.3664309","title":"Optimizing Aesthetic Perception Through Human\u2013AI Teaming for Subtle Dimension Identification in Art Annotation","display_name":"Optimizing Aesthetic Perception Through Human\u2013AI Teaming for Subtle Dimension Identification in Art Annotation","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7128701648","doi":"https://doi.org/10.1109/tlt.2026.3664309"},"language":null,"primary_location":{"id":"doi:10.1109/tlt.2026.3664309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2026.3664309","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Learning Technologies","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/A5010472109","display_name":"Mo Wang","orcid":"https://orcid.org/0000-0003-2245-7610"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mo Wang","raw_affiliation_strings":["School of Fine Arts, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0003-2245-7610","affiliations":[{"raw_affiliation_string":"School of Fine Arts, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125775655","display_name":"Ye Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ye Zhang","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0002-3396-1978","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125720945","display_name":"Jinlong He","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinlong He","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0007-1929-7683","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006623562","display_name":"Yupeng Zhou","orcid":"https://orcid.org/0000-0002-9328-1328"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yupeng Zhou","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-9328-1328","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111214408","display_name":"Niantong Li","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Niantong Li","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0000-2664-833X","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jianan Wang","orcid":"https://orcid.org/0009-0002-9383-6482"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianan Wang","raw_affiliation_strings":["School of Physics, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0009-0002-9383-6482","affiliations":[{"raw_affiliation_string":"School of Physics, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125733990","display_name":"Yifei Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I183816158","display_name":"Zhaoqing University","ror":"https://ror.org/025n5kj18","country_code":"CN","type":"education","lineage":["https://openalex.org/I183816158"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifei Sun","raw_affiliation_strings":["School of Art and Design, Guangdong Technology College, Zhaoqing, China"],"raw_orcid":"https://orcid.org/0009-0004-5364-5993","affiliations":[{"raw_affiliation_string":"School of Art and Design, Guangdong Technology College, Zhaoqing, China","institution_ids":["https://openalex.org/I183816158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123492661","display_name":"Minghao Yin","orcid":null},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minghao Yin","raw_affiliation_strings":["School of Information Science and Technology, Northeast Normal University, Changchun, China"],"raw_orcid":"https://orcid.org/0000-0002-6226-2394","affiliations":[{"raw_affiliation_string":"School of Information Science and Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5010472109"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28606956,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"19","issue":null,"first_page":"105","last_page":"116"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12650","display_name":"Aesthetic Perception and Analysis","score":0.8895999789237976,"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":0.8895999789237976,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.06729999929666519,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.0034000000450760126,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.6748999953269958},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6028000116348267},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5295000076293945},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.526199996471405},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5184000134468079},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.4595000147819519},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4555000066757202},{"id":"https://openalex.org/keywords/interdependence","display_name":"Interdependence","score":0.4496000111103058},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.44780001044273376}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7752000093460083},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.6748999953269958},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6028000116348267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5928999781608582},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5295000076293945},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.526199996471405},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5184000134468079},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.4595000147819519},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4555000066757202},{"id":"https://openalex.org/C185874996","wikidata":"https://www.wikidata.org/wiki/Q269699","display_name":"Interdependence","level":2,"score":0.4496000111103058},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.44780001044273376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4287000000476837},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39079999923706055},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.3707999885082245},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.36390000581741333},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.36090001463890076},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.35600000619888306},{"id":"https://openalex.org/C178253425","wikidata":"https://www.wikidata.org/wiki/Q162668","display_name":"Visual perception","level":3,"score":0.35519999265670776},{"id":"https://openalex.org/C66024118","wikidata":"https://www.wikidata.org/wiki/Q1122506","display_name":"Computational model","level":2,"score":0.328000009059906},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3253999948501587},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.30630001425743103},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.2971000075340271},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2937000095844269},{"id":"https://openalex.org/C2779641649","wikidata":"https://www.wikidata.org/wiki/Q18377767","display_name":"Human Dimension","level":3,"score":0.28060001134872437},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.27309998869895935},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C188147891","wikidata":"https://www.wikidata.org/wiki/Q147638","display_name":"Cognitive science","level":1,"score":0.25850000977516174},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2542000114917755},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.25110000371932983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tlt.2026.3664309","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tlt.2026.3664309","pdf_url":null,"source":{"id":"https://openalex.org/S130363450","display_name":"IEEE Transactions on Learning Technologies","issn_l":"1939-1382","issn":["1939-1382","2372-0050"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Learning Technologies","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":33,"referenced_works":["https://openalex.org/W1896080482","https://openalex.org/W1989541640","https://openalex.org/W2511067925","https://openalex.org/W2514622527","https://openalex.org/W2612135493","https://openalex.org/W2788862220","https://openalex.org/W2883558914","https://openalex.org/W2943568678","https://openalex.org/W2953043480","https://openalex.org/W2962764167","https://openalex.org/W2963446712","https://openalex.org/W3049571236","https://openalex.org/W3164459664","https://openalex.org/W3206853346","https://openalex.org/W4224316956","https://openalex.org/W4281638598","https://openalex.org/W4312868947","https://openalex.org/W4318586145","https://openalex.org/W4320487056","https://openalex.org/W4365398148","https://openalex.org/W4375796951","https://openalex.org/W4385346076","https://openalex.org/W4387665600","https://openalex.org/W4389395674","https://openalex.org/W4393145653","https://openalex.org/W4399110520","https://openalex.org/W4404827821","https://openalex.org/W4407098046","https://openalex.org/W4409364286","https://openalex.org/W4409365373","https://openalex.org/W4410808427","https://openalex.org/W4413319133","https://openalex.org/W7092291360"],"related_works":[],"abstract_inverted_index":{"Aesthetic":[0],"perception,":[1],"the":[2,11,83,147,172,178,192,197],"cognitive":[3],"process":[4],"through":[5,66],"which":[6],"individuals":[7],"interpret":[8,94],"and":[9,13,24,47,62,71,95,124,153,203,217],"evaluate":[10],"expressive":[12],"emotional":[14,25],"qualities":[15],"of":[16,174,180],"visual":[17,45],"art,":[18],"is":[19,117,133],"fundamental":[20],"to":[21,36,55,81,93,96,100,119,170],"students'":[22],"creative":[23],"development.":[26],"Recent":[27],"progress":[28],"in":[29,38,44,228],"artificial":[30],"intelligence":[31],"has":[32],"enabled":[33],"computational":[34],"models":[35,52,89,159,202],"assist":[37],"aesthetic":[39,60,84,122,162,229],"analysis":[40],"by":[41],"identifying":[42],"patterns":[43],"composition":[46],"affective":[48],"expression.":[49],"However,":[50],"such":[51],"often":[53],"struggle":[54],"recognize":[56],"abstract":[57],"or":[58],"context-dependent":[59],"dimensions,":[61,152],"improving":[63,225],"these":[64,98],"aspects":[65],"comprehensive":[67],"annotation":[68,132,182,215],"remains":[69],"costly":[70],"time-consuming.":[72],"This":[73,210],"study":[74],"presents":[75],"a":[76,108,120,126,142,154,221],"human-AI":[77,226],"teaming":[78],"framework":[79,106,194],"designed":[80],"identify":[82],"perception":[85,176,230],"dimensions":[86,99,199],"that":[87,145,158,191],"AI":[88,201],"find":[90],"most":[91],"difficult":[92],"allocate":[97],"human":[101,181,208],"experts":[102],"for":[103,128,200,207,224],"annotation.":[104],"The":[105],"employs":[107],"multi-agent":[109],"reinforcement":[110],"learning":[111],"(MARL)":[112],"mechanism,":[113],"where":[114],"each":[115],"agent":[116],"assigned":[118],"specific":[121],"dimension":[123],"learns":[125],"policy":[127],"determining":[129],"whether":[130],"expert":[131],"required.":[134],"Two":[135],"complementary":[136],"state":[137],"representation":[138,144],"strategies":[139],"are":[140],"introduced:":[141],"statistical":[143],"captures":[146],"model's":[148],"predictive":[149],"distribution":[150],"across":[151],"graph-based":[155],"attention":[156],"module":[157],"interdependencies":[160],"among":[161],"attributes.":[163],"A":[164],"reward":[165],"mechanism":[166],"further":[167],"guides":[168],"agents":[169],"balance":[171],"improvement":[173],"model":[175,218],"with":[177],"minimization":[179],"effort.":[183],"Experiments":[184],"conducted":[185],"on":[186],"two":[187],"real-world":[188],"datasets":[189],"demonstrate":[190],"proposed":[193],"effectively":[195],"identifies":[196],"challenging":[198],"strategically":[204],"delegates":[205],"them":[206],"evaluation.":[209],"targeted":[211],"collaboration":[212],"significantly":[213],"enhances":[214],"efficiency":[216],"interpretability,":[219],"providing":[220],"scalable":[222],"approach":[223],"synergy":[227],"analysis.":[231]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-02-13T00:00:00"}
