{"id":"https://openalex.org/W4387698226","doi":"https://doi.org/10.1145/3607865.3613178","title":"CLIP-based Model for Effective and Explainable Apparent Personality Perception","display_name":"CLIP-based Model for Effective and Explainable Apparent Personality Perception","publication_year":2023,"publication_date":"2023-10-17","ids":{"openalex":"https://openalex.org/W4387698226","doi":"https://doi.org/10.1145/3607865.3613178"},"language":"en","primary_location":{"id":"doi:10.1145/3607865.3613178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3607865.3613178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing","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/A5040993774","display_name":"Peter Zhuowei Gan","orcid":"https://orcid.org/0000-0002-2238-9622"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Peter Zhuowei Gan","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055952724","display_name":"Arcot Sowmya","orcid":"https://orcid.org/0000-0001-9236-5063"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Arcot Sowmya","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032060005","display_name":"Gelareh Mohammadi","orcid":"https://orcid.org/0000-0002-8087-2241"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Gelareh Mohammadi","raw_affiliation_strings":["University of New South Wales, Sydney, NSW, Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, NSW, Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040993774"],"corresponding_institution_ids":["https://openalex.org/I31746571"],"apc_list":null,"apc_paid":null,"fwci":2.062,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87201166,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"37"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive 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/T11094","display_name":"Face Recognition and Perception","score":0.9193999767303467,"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/T10241","display_name":"Functional Brain Connectivity Studies","score":0.9135000109672546,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7829627990722656},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6145613789558411},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5506640076637268},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.4865526258945465},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4775006175041199},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4631831645965576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34425806999206543},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11531621217727661}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7829627990722656},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6145613789558411},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5506640076637268},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.4865526258945465},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4775006175041199},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4631831645965576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34425806999206543},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11531621217727661},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3607865.3613178","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3607865.3613178","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W597318585","https://openalex.org/W1584136140","https://openalex.org/W2089809964","https://openalex.org/W2498900357","https://openalex.org/W2618851150","https://openalex.org/W2740882943","https://openalex.org/W2749525589","https://openalex.org/W2763560359","https://openalex.org/W2786684976","https://openalex.org/W2963692882","https://openalex.org/W2990002983","https://openalex.org/W3005891272","https://openalex.org/W3021787434","https://openalex.org/W3091199198","https://openalex.org/W3094502228","https://openalex.org/W3135367836","https://openalex.org/W3199804376","https://openalex.org/W4226182655","https://openalex.org/W4229007339","https://openalex.org/W4233080783","https://openalex.org/W4311156453","https://openalex.org/W4313025887","https://openalex.org/W6672915439","https://openalex.org/W6803567076","https://openalex.org/W6811706458","https://openalex.org/W6853649441","https://openalex.org/W6910681941","https://openalex.org/W7073788660","https://openalex.org/W7074711359"],"related_works":["https://openalex.org/W2628861693","https://openalex.org/W3203087560","https://openalex.org/W2568121504","https://openalex.org/W3147584709","https://openalex.org/W4361279463","https://openalex.org/W2961085424","https://openalex.org/W105296515","https://openalex.org/W2977677679","https://openalex.org/W4232814730","https://openalex.org/W3159661535"],"abstract_inverted_index":{"In":[0,126],"the":[1,85,127,187,224,227,259,283,295,316],"field":[2],"of":[3,88,117,129,160,172,287,319],"Apparent":[4],"Personality":[5],"Perception":[6],"(APP),":[7],"a":[8,77,93,110,115,135,151,161,309],"central":[9],"challenge":[10,233],"involves":[11],"drawing":[12],"robust":[13],"inferences":[14],"from":[15,40,164],"observable":[16],"behaviour":[17],"and":[18,37,48,59,65,101,108,124,142,183,206,246,261,265,277,285,321],"appearance.":[19],"Various":[20],"existing":[21],"methods":[22,52],"attempt":[23],"to":[24,57,71,80,113,155,189,198,223,315],"accomplish":[25],"this":[26,72],"by":[27],"deploying":[28],"diverse":[29],"neural":[30],"network":[31],"architectures,":[32],"all":[33],"aimed":[34],"at":[35],"extracting":[36],"integrating":[38],"features":[39,146],"multimodal":[41,95,179,217],"data":[42],"sources":[43],"such":[44],"as":[45,134,196],"text,":[46],"audio,":[47],"video.":[49,168],"Notwithstanding,":[50],"these":[51],"grapple":[53],"with":[54,238],"issues":[55],"related":[56],"generalisability":[58,284],"explainability,":[60],"which":[61],"hamper":[62],"their":[63,165],"applicability":[64],"trustworthiness":[66],"in":[67,176,214,303],"real-world":[68],"situations.":[69],"Responding":[70],"challenge,":[73],"our":[74,173,211,221,236,253,279,292,311],"paper":[75],"presents":[76],"novel":[78],"approach":[79,280],"APP":[81,288],"that":[82,202,242,252,298],"capitalizes":[83],"on":[84,273],"unique":[86,170],"strengths":[87],"CLIP":[89,98,133],"(Contrastive":[90],"Language-Image":[91],"Pre-Training),":[92],"large-scale":[94,299],"pre-training":[96],"method.":[97],"learns":[99],"image":[100,166,182,205],"text":[102],"representations":[103],"via":[104],"natural":[105,121,274],"language":[106,122,275],"supervision":[107,276],"demonstrates":[109],"remarkable":[111],"ability":[112,188],"handle":[114],"range":[116],"vision-related":[118],"tasks":[119],"using":[120,192,226],"queries":[123],"prompts.":[125],"context":[128],"APP,":[130],"we":[131],"harness":[132],"feature":[136],"extractor":[137],"for":[138,248,268],"both":[139,204],"personality":[140,158],"traits":[141,159],"visual":[143,194],"cues.":[144],"These":[145],"are":[147],"then":[148],"incorporated":[149],"into":[150],"regression":[152],"model":[153,174],"trained":[154],"predict":[156],"apparent":[157],"target":[162],"person":[163],"or":[167,257],"A":[169],"strength":[171],"lies":[175],"its":[177,269],"inherent":[178],"nature":[180],"(using":[181],"text)":[184],"giving":[185],"it":[186],"perform":[190],"competently":[191],"only":[193],"data,":[195],"opposed":[197],"most":[199],"other":[200],"models":[201],"require":[203],"audio":[207],"features.":[208],"This":[209],"highlights":[210],"method's":[212],"versatility":[213],"handling":[215],"varied":[216],"inputs.":[218],"We":[219,250],"put":[220],"method":[222,254,312],"test":[225],"ChaLearn":[228],"First":[229],"Impressions":[230],"V2":[231],"(CVPR'17)":[232],"dataset,":[234],"comparing":[235],"results":[237],"several":[239],"state-of-the-art":[240],"baselines":[241],"employ":[243],"different":[244],"modalities":[245],"architectures":[247],"APP.":[249],"found":[251],"either":[255],"matches":[256],"outperforms":[258],"competition,":[260],"notably,":[262],"provides":[263],"intuitive":[264],"interpretable":[266],"explanations":[267],"predictions.":[270],"By":[271],"relying":[272],"queries,":[278],"significantly":[281],"enhances":[282],"explainability":[286],"models.":[289],"Beyond":[290],"this,":[291],"work":[293],"underscores":[294],"prospective":[296],"role":[297],"transformers":[300],"can":[301],"play":[302],"better":[304],"comprehending":[305],"psychological":[306],"phenomena.":[307],"As":[308],"result,":[310],"contributes":[313],"positively":[314],"broader":[317],"domain":[318],"Multimodal":[320],"Responsible":[322],"Affective":[323],"Computing.":[324]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-25T14:56:36.534964","created_date":"2025-10-10T00:00:00"}