{"id":"https://openalex.org/W4362681517","doi":"https://doi.org/10.1109/taffc.2023.3265072","title":"From the Lab to the Wild: Affect Modeling Via Privileged Information","display_name":"From the Lab to the Wild: Affect Modeling Via Privileged Information","publication_year":2023,"publication_date":"2023-04-06","ids":{"openalex":"https://openalex.org/W4362681517","doi":"https://doi.org/10.1109/taffc.2023.3265072"},"language":"en","primary_location":{"id":"doi:10.1109/taffc.2023.3265072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3265072","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2305.10919","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057445534","display_name":"Konstantinos Makantasis","orcid":"https://orcid.org/0000-0002-0889-2766"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Konstantinos Makantasis","raw_affiliation_strings":["Department of Artificial Intelligence, University of Malta, Msida, MSD, Malta"],"raw_orcid":"https://orcid.org/0000-0002-0889-2766","affiliations":[{"raw_affiliation_string":"Department of Artificial Intelligence, University of Malta, Msida, MSD, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056006892","display_name":"Kosmas Pinitas","orcid":"https://orcid.org/0000-0003-0938-682X"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Kosmas Pinitas","raw_affiliation_strings":["Institute of Digital Games, University of Malta, Msida, MSD, Malta"],"raw_orcid":"https://orcid.org/0000-0003-0938-682X","affiliations":[{"raw_affiliation_string":"Institute of Digital Games, University of Malta, Msida, MSD, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012075090","display_name":"Antonios Liapis","orcid":"https://orcid.org/0000-0001-5554-1961"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Antonios Liapis","raw_affiliation_strings":["Institute of Digital Games, University of Malta, Msida, MSD, Malta"],"raw_orcid":"https://orcid.org/0000-0001-5554-1961","affiliations":[{"raw_affiliation_string":"Institute of Digital Games, University of Malta, Msida, MSD, Malta","institution_ids":["https://openalex.org/I197854408"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102978041","display_name":"Georgios N. Yannakakis","orcid":"https://orcid.org/0000-0003-2728-4026"},"institutions":[{"id":"https://openalex.org/I197854408","display_name":"University of Malta","ror":"https://ror.org/03a62bv60","country_code":"MT","type":"education","lineage":["https://openalex.org/I197854408"]}],"countries":["MT"],"is_corresponding":false,"raw_author_name":"Georgios N. Yannakakis","raw_affiliation_strings":["Institute of Digital Games, University of Malta, Msida, MSD, Malta"],"raw_orcid":"https://orcid.org/0000-0003-2728-4026","affiliations":[{"raw_affiliation_string":"Institute of Digital Games, University of Malta, Msida, MSD, Malta","institution_ids":["https://openalex.org/I197854408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I197854408"],"apc_list":null,"apc_paid":null,"fwci":2.6122,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.89626203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"15","issue":"2","first_page":"380","last_page":"392"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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":0.9998999834060669,"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/T10429","display_name":"EEG and Brain-Computer Interfaces","score":0.9871000051498413,"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/T13283","display_name":"Mental Health Research Topics","score":0.9563999772071838,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.8834851980209351},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.823013424873352},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5404894948005676},{"id":"https://openalex.org/keywords/intrusiveness","display_name":"Intrusiveness","score":0.5099989175796509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4766981303691864},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4568103849887848},{"id":"https://openalex.org/keywords/affective-computing","display_name":"Affective computing","score":0.449365496635437},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4212774634361267},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.18990004062652588},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.10372093319892883},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.09773808717727661}],"concepts":[{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.8834851980209351},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.823013424873352},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5404894948005676},{"id":"https://openalex.org/C2781390367","wikidata":"https://www.wikidata.org/wiki/Q17098321","display_name":"Intrusiveness","level":2,"score":0.5099989175796509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4766981303691864},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4568103849887848},{"id":"https://openalex.org/C6438553","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Affective computing","level":2,"score":0.449365496635437},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4212774634361267},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.18990004062652588},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.10372093319892883},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.09773808717727661},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/taffc.2023.3265072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taffc.2023.3265072","pdf_url":null,"source":{"id":"https://openalex.org/S104780363","display_name":"IEEE Transactions on Affective Computing","issn_l":"1949-3045","issn":["1949-3045","2371-9850"],"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 Affective Computing","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2305.10919","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.10919","pdf_url":"https://arxiv.org/pdf/2305.10919","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:www.um.edu.mt:123456789/121427","is_oa":true,"landing_page_url":"https://www.um.edu.mt/library/oar/handle/123456789/121427","pdf_url":"https://www.um.edu.mt/library/oar/bitstream/123456789/121427/1/From_the_lab_to_the_wild_affect_modeling_via_privileged_information_2023.pdf","source":{"id":"https://openalex.org/S4306400782","display_name":"OAR@UM (University of Malta)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I197854408","host_organization_name":"University of Malta","host_organization_lineage":["https://openalex.org/I197854408"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:zenodo.org:7879192","is_oa":true,"landing_page_url":"https://doi.org/10.1109/TAFFC.2023.3265072","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Affective Computing, (2023-04-06)","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2305.10919","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2305.10919","pdf_url":"https://arxiv.org/pdf/2305.10919","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1322071649","display_name":"A European Excellence Centre for Media, Society and Democracy","funder_award_id":"951911","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G434337789","display_name":null,"funder_award_id":"HORIZON2020","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G8126468247","display_name":"Tensor-bAsed Machine learning towards genEral moDels of affect","funder_award_id":"101003397","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F4320321039","display_name":"Malta Council for Science and Technology","ror":"https://ror.org/05qk3dq04"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362681517.pdf","grobid_xml":"https://content.openalex.org/works/W4362681517.grobid-xml"},"referenced_works_count":89,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1544935352","https://openalex.org/W1545641654","https://openalex.org/W1574447377","https://openalex.org/W1821462560","https://openalex.org/W2002055708","https://openalex.org/W2009119155","https://openalex.org/W2024605627","https://openalex.org/W2045472600","https://openalex.org/W2045528981","https://openalex.org/W2047573229","https://openalex.org/W2051297709","https://openalex.org/W2067562626","https://openalex.org/W2090777335","https://openalex.org/W2103184652","https://openalex.org/W2126942721","https://openalex.org/W2132555391","https://openalex.org/W2141359934","https://openalex.org/W2151103935","https://openalex.org/W2156977174","https://openalex.org/W2161969291","https://openalex.org/W2164623278","https://openalex.org/W2173379916","https://openalex.org/W2186363412","https://openalex.org/W2217426128","https://openalex.org/W2239141610","https://openalex.org/W2253728219","https://openalex.org/W2313339984","https://openalex.org/W2346454595","https://openalex.org/W2399733683","https://openalex.org/W2406223855","https://openalex.org/W2587982884","https://openalex.org/W2588300744","https://openalex.org/W2590235073","https://openalex.org/W2610961739","https://openalex.org/W2611154248","https://openalex.org/W2655404332","https://openalex.org/W2699539148","https://openalex.org/W2713788831","https://openalex.org/W2731964405","https://openalex.org/W2787552263","https://openalex.org/W2792191740","https://openalex.org/W2792919371","https://openalex.org/W2798536775","https://openalex.org/W2799103137","https://openalex.org/W2887761937","https://openalex.org/W2892550322","https://openalex.org/W2900358852","https://openalex.org/W2901737885","https://openalex.org/W2904106524","https://openalex.org/W2910165986","https://openalex.org/W2919203733","https://openalex.org/W2922318995","https://openalex.org/W2924473540","https://openalex.org/W2949662773","https://openalex.org/W2952667353","https://openalex.org/W2954345346","https://openalex.org/W2996235414","https://openalex.org/W3009968105","https://openalex.org/W3088631780","https://openalex.org/W3094524767","https://openalex.org/W3097616280","https://openalex.org/W3100513545","https://openalex.org/W3104792420","https://openalex.org/W3109874103","https://openalex.org/W3114214226","https://openalex.org/W3119221111","https://openalex.org/W3121040650","https://openalex.org/W3125485760","https://openalex.org/W3127617206","https://openalex.org/W3133328577","https://openalex.org/W3144366453","https://openalex.org/W3147083253","https://openalex.org/W3148234074","https://openalex.org/W3156576211","https://openalex.org/W3175825020","https://openalex.org/W3211905200","https://openalex.org/W4229065466","https://openalex.org/W4230277160","https://openalex.org/W4288102735","https://openalex.org/W6631190155","https://openalex.org/W6638523607","https://openalex.org/W6685316698","https://openalex.org/W6691815588","https://openalex.org/W6737023044","https://openalex.org/W6751117260","https://openalex.org/W6769650007","https://openalex.org/W6793085849","https://openalex.org/W6793244244"],"related_works":["https://openalex.org/W2199184806","https://openalex.org/W4362650935","https://openalex.org/W127837312","https://openalex.org/W2922283411","https://openalex.org/W4384789578","https://openalex.org/W4387421317","https://openalex.org/W2753175802","https://openalex.org/W2809214204","https://openalex.org/W2904925713","https://openalex.org/W2964266095"],"abstract_inverted_index":{"How":[0],"can":[1],"we":[2,57,148],"reliably":[3],"transfer":[4],"affect":[5,41,66,77,114,125,132,173,191],"models":[6,67,78,123,133,153],"trained":[7,81],"in":[8,68,86,104,111,126,180,193],"controlled":[9],"laboratory":[10],"conditions":[11],"(in-vitro)":[12],"to":[13,40,54,79],"uncontrolled":[14],"real-world":[15,69],"settings":[16],"(in-vivo)?":[17],"The":[18,164],"information":[19,63,75],"gap":[20,34],"between":[21],"in-vitro":[22],"and":[23,47,89,137,162,171],"in-vivo":[24],"applications":[25],"defines":[26],"a":[27,52,87,186],"core":[28],"challenge":[29],"of":[30,49,61,117,124,152],"affective":[31,181],"computing.":[32,182],"This":[33],"is":[35,109,119],"caused":[36],"by":[37],"limitations":[38],"related":[39],"sensing":[42],"including":[43],"intrusiveness,":[44],"hardware":[45],"malfunctions":[46],"availability":[48],"sensors.":[50],"As":[51],"response":[53],"these":[55],"limitations,":[56],"introduce":[58],"the":[59,72,105,127,146,150,194],"concept":[60],"privileged":[62],"for":[64,121,144,159],"operating":[65],"scenarios":[70],"(in":[71],"wild).":[73],"Privileged":[74],"enables":[76],"be":[80],"across":[82,168],"multiple":[83],"modalities":[84,96,136,158],"available":[85,100,157],"lab,":[88],"ignore,":[90],"without":[91],"significant":[92],"performance":[93,151],"drops,":[94],"those":[95],"that":[97,154],"are":[98,166,177],"not":[99],"when":[101],"they":[102],"operate":[103],"wild.":[106,128,195],"Our":[107,183],"approach":[108],"tested":[110],"two":[112],"multimodal":[113],"databases":[115],"one":[116],"which":[118,176],"designed":[120],"testing":[122,145],"By":[129],"training":[130,161],"our":[131],"using":[134,139],"all":[135,156],"then":[138],"solely":[140],"raw":[141],"footage":[142],"frames":[143],"models,":[147],"reach":[149],"fuse":[155],"both":[160,169],"testing.":[163],"results":[165],"robust":[167],"classification":[170],"regression":[172],"modeling":[174],"tasks":[175],"dominant":[178],"paradigms":[179],"findings":[184],"make":[185],"decisive":[187],"step":[188],"towards":[189],"realizing":[190],"interaction":[192]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}