{"id":"https://openalex.org/W2956093676","doi":"https://doi.org/10.1109/acii.2019.8925493","title":"From Pixels to Affect: A Study on Games and Player Experience","display_name":"From Pixels to Affect: A Study on Games and Player Experience","publication_year":2019,"publication_date":"2019-09-01","ids":{"openalex":"https://openalex.org/W2956093676","doi":"https://doi.org/10.1109/acii.2019.8925493","mag":"2956093676"},"language":"en","primary_location":{"id":"doi:10.1109/acii.2019.8925493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2019.8925493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1907.02288","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":true,"raw_author_name":"Konstantinos Makantasis","raw_affiliation_strings":["Institute of Digital Games, University of Malta","Univ. of Malta#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Games, University of Malta","institution_ids":["https://openalex.org/I197854408"]},{"raw_affiliation_string":"Univ. of Malta#TAB#","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","Univ. of Malta#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Games, University of Malta","institution_ids":["https://openalex.org/I197854408"]},{"raw_affiliation_string":"Univ. of Malta#TAB#","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","Univ. of Malta#TAB#"],"affiliations":[{"raw_affiliation_string":"Institute of Digital Games, University of Malta","institution_ids":["https://openalex.org/I197854408"]},{"raw_affiliation_string":"Univ. of Malta#TAB#","institution_ids":["https://openalex.org/I197854408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5057445534"],"corresponding_institution_ids":["https://openalex.org/I197854408"],"apc_list":null,"apc_paid":null,"fwci":0.68747972,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.71156512,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9973000288009644,"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":0.9973000288009644,"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/T12214","display_name":"Media Influence and Health","score":0.9796000123023987,"subfield":{"id":"https://openalex.org/subfields/1208","display_name":"Literature and Literary Theory"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9714000225067139,"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/computer-science","display_name":"Computer science","score":0.7749463319778442},{"id":"https://openalex.org/keywords/affect","display_name":"Affect (linguistics)","score":0.7692887783050537},{"id":"https://openalex.org/keywords/arousal","display_name":"Arousal","score":0.7237863540649414},{"id":"https://openalex.org/keywords/video-game","display_name":"Video game","score":0.6723110675811768},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6241322159767151},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.4944734573364258},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48364269733428955},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.47877538204193115},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.4473402798175812},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4326103925704956},{"id":"https://openalex.org/keywords/multimedia","display_name":"Multimedia","score":0.35684317350387573},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33827394247055054},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.15846320986747742},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.08241313695907593}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7749463319778442},{"id":"https://openalex.org/C2776035688","wikidata":"https://www.wikidata.org/wiki/Q1606558","display_name":"Affect (linguistics)","level":2,"score":0.7692887783050537},{"id":"https://openalex.org/C36951298","wikidata":"https://www.wikidata.org/wiki/Q379784","display_name":"Arousal","level":2,"score":0.7237863540649414},{"id":"https://openalex.org/C3018412434","wikidata":"https://www.wikidata.org/wiki/Q7889","display_name":"Video game","level":2,"score":0.6723110675811768},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6241322159767151},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.4944734573364258},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48364269733428955},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.47877538204193115},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.4473402798175812},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4326103925704956},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.35684317350387573},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33827394247055054},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.15846320986747742},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.08241313695907593},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/acii.2019.8925493","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acii.2019.8925493","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 8th International Conference on Affective Computing and Intelligent Interaction (ACII)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1907.02288","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.02288","pdf_url":"https://arxiv.org/pdf/1907.02288","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},{"id":"pmh:oai:www.um.edu.mt:123456789/47311","is_oa":true,"landing_page_url":"https://www.um.edu.mt/library/oar/handle/123456789/47311","pdf_url":"https://www.um.edu.mt/library/oar/bitstream/123456789/47311/1/From_pixels_to_affect_a_study_on_games_and_player_experience_2019.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":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"mag:2956093676","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1907.02288.pdf","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1907.02288","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1907.02288","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1907.02288","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1907.02288","pdf_url":"https://arxiv.org/pdf/1907.02288","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1869445247","https://openalex.org/W1964422354","https://openalex.org/W1966797434","https://openalex.org/W1968600824","https://openalex.org/W1983364832","https://openalex.org/W1993008008","https://openalex.org/W2011974988","https://openalex.org/W2016053056","https://openalex.org/W2069002413","https://openalex.org/W2079725295","https://openalex.org/W2103184652","https://openalex.org/W2108385997","https://openalex.org/W2119802788","https://openalex.org/W2136119880","https://openalex.org/W2136853139","https://openalex.org/W2141104189","https://openalex.org/W2142385019","https://openalex.org/W2145339207","https://openalex.org/W2155893237","https://openalex.org/W2156503193","https://openalex.org/W2159668072","https://openalex.org/W2163605009","https://openalex.org/W2186363412","https://openalex.org/W2186409800","https://openalex.org/W2339343773","https://openalex.org/W2513298384","https://openalex.org/W2519256581","https://openalex.org/W2655404332","https://openalex.org/W2713788831","https://openalex.org/W2739403339","https://openalex.org/W2742947407","https://openalex.org/W2786355254","https://openalex.org/W2786877691","https://openalex.org/W2787876196","https://openalex.org/W2884001105","https://openalex.org/W2900358852","https://openalex.org/W2901531394","https://openalex.org/W2962858109","https://openalex.org/W2963199341","https://openalex.org/W4239078262","https://openalex.org/W4292166681","https://openalex.org/W6639083478","https://openalex.org/W6664279549","https://openalex.org/W6684191040","https://openalex.org/W6703294436","https://openalex.org/W6748178518","https://openalex.org/W6753182797","https://openalex.org/W6848376407","https://openalex.org/W6881109373","https://openalex.org/W7014842063"],"related_works":["https://openalex.org/W2996235414","https://openalex.org/W3147083253","https://openalex.org/W2011974988","https://openalex.org/W3160088123","https://openalex.org/W140385302","https://openalex.org/W2535842943","https://openalex.org/W1843140954","https://openalex.org/W2810284239","https://openalex.org/W2000274661","https://openalex.org/W2943923188","https://openalex.org/W2169161506","https://openalex.org/W2975734781","https://openalex.org/W1975024835","https://openalex.org/W2899229555","https://openalex.org/W2808691157","https://openalex.org/W2205301256","https://openalex.org/W3102913923","https://openalex.org/W2587119203","https://openalex.org/W2549508722","https://openalex.org/W3084852728"],"abstract_inverted_index":{"Is":[0],"it":[1],"possible":[2],"to":[3,57,95,142],"predict":[4,24],"the":[5,34,59,68,73,90,106,135],"affect":[6],"of":[7,65,79,83,113],"a":[8,17,25,84,132,148],"user":[9],"just":[10],"by":[11,30,45],"observing":[12],"her":[13],"behavioral":[14],"interaction":[15],"through":[16],"video?":[18],"How":[19],"can":[20],"we,":[21],"for":[22,153],"instance,":[23],"user's":[26],"arousal":[27,100],"in":[28,54,75],"games":[29,127],"merely":[31],"looking":[32],"at":[33,120],"screen":[35],"during":[36],"play?":[37],"In":[38],"this":[39,123],"paper":[40],"we":[41],"address":[42],"these":[43],"questions":[44],"employing":[46],"three":[47],"dissimilar":[48],"deep":[49,91],"convolutional":[50],"neural":[51],"network":[52],"architectures":[53],"our":[55],"attempt":[56],"learn":[58],"underlying":[60],"mapping":[61],"between":[62],"video":[63],"streams":[64],"gameplay":[66,81],"and":[67,88,118,128,137,150],"player's":[69],"arousal.":[70],"We":[71],"test":[72,133],"algorithms":[74],"an":[76],"annotated":[77],"dataset":[78],"50":[80],"videos":[82],"survival":[85],"shooter":[86],"game":[87],"evaluate":[89],"learned":[92],"models'":[93],"capacity":[94],"classify":[96],"high":[97],"vs":[98],"low":[99],"levels.":[101],"Our":[102],"key":[103],"findings":[104,136],"with":[105],"demanding":[107],"leave-one-video-out":[108],"validation":[109],"method":[110],"reveal":[111],"accuracies":[112],"over":[114],"78%":[115],"on":[116,126],"average":[117],"98%":[119],"best.":[121],"While":[122],"study":[124],"focuses":[125],"player":[129],"experience":[130],"as":[131],"domain,":[134],"methodology":[138],"are":[139],"directly":[140],"relevant":[141],"any":[143],"affective":[144],"computing":[145],"area,":[146],"introducing":[147],"general":[149],"user-agnostic":[151],"approach":[152],"modeling":[154],"affect.":[155]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}
