{"id":"https://openalex.org/W4415821903","doi":"https://doi.org/10.1109/qomex65720.2025.11219950","title":"Decoding Audience Emotional Responses from Low-Level Content Features","display_name":"Decoding Audience Emotional Responses from Low-Level Content Features","publication_year":2025,"publication_date":"2025-09-30","ids":{"openalex":"https://openalex.org/W4415821903","doi":"https://doi.org/10.1109/qomex65720.2025.11219950"},"language":null,"primary_location":{"id":"doi:10.1109/qomex65720.2025.11219950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex65720.2025.11219950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Quality of Multimedia Experience (QoMEX)","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/A5120235793","display_name":"Isabel Mendes Rodrigues","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Isabel Mendes Rodrigues","raw_affiliation_strings":["University of Bristol,School of Computer Science,UK"],"affiliations":[{"raw_affiliation_string":"University of Bristol,School of Computer Science,UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049284007","display_name":"Michael Wray","orcid":"https://orcid.org/0000-0001-5918-9029"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Michael Wray","raw_affiliation_strings":["University of Bristol,School of Computer Science,UK"],"affiliations":[{"raw_affiliation_string":"University of Bristol,School of Computer Science,UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108191856","display_name":"Sarah Connolly","orcid":null},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sarah Connolly","raw_affiliation_strings":["University of Bristol,School of Computer Science,UK"],"affiliations":[{"raw_affiliation_string":"University of Bristol,School of Computer Science,UK","institution_ids":["https://openalex.org/I36234482"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053336934","display_name":"Angeliki Katsenou","orcid":"https://orcid.org/0000-0003-0081-4488"},"institutions":[{"id":"https://openalex.org/I36234482","display_name":"University of Bristol","ror":"https://ror.org/0524sp257","country_code":"GB","type":"education","lineage":["https://openalex.org/I36234482"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Angeliki Katsenou","raw_affiliation_strings":["University of Bristol,School of Computer Science,UK"],"affiliations":[{"raw_affiliation_string":"University of Bristol,School of Computer Science,UK","institution_ids":["https://openalex.org/I36234482"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5120235793"],"corresponding_institution_ids":["https://openalex.org/I36234482"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35209826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.5468999743461609,"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":0.5468999743461609,"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/T12032","display_name":"Multisensory perception and integration","score":0.040300000458955765,"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/T13310","display_name":"Subtitles and Audiovisual Media","score":0.03290000185370445,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.6693999767303467},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5238999724388123},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.5002999901771545},{"id":"https://openalex.org/keywords/media-content","display_name":"Media content","score":0.4090999960899353},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.4007999897003174},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.34940001368522644},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.3165999948978424},{"id":"https://openalex.org/keywords/content-analysis","display_name":"Content analysis","score":0.310699999332428}],"concepts":[{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.6693999767303467},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.574400007724762},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5238999724388123},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.5002999901771545},{"id":"https://openalex.org/C3020234875","wikidata":"https://www.wikidata.org/wiki/Q1260632","display_name":"Media content","level":2,"score":0.4090999960899353},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.4007999897003174},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37049999833106995},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.35910001397132874},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.34940001368522644},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.335099995136261},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3174000084400177},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C162446236","wikidata":"https://www.wikidata.org/wiki/Q653137","display_name":"Content analysis","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.30809998512268066},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.2987000048160553},{"id":"https://openalex.org/C2781168091","wikidata":"https://www.wikidata.org/wiki/Q1059883","display_name":"Audience response","level":2,"score":0.28519999980926514},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.28029999136924744},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.2761000096797943},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.275299996137619},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.2563000023365021}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/qomex65720.2025.11219950","is_oa":false,"landing_page_url":"https://doi.org/10.1109/qomex65720.2025.11219950","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 17th International Conference on Quality of Multimedia Experience (QoMEX)","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":25,"referenced_works":["https://openalex.org/W577068406","https://openalex.org/W2003856922","https://openalex.org/W2017069230","https://openalex.org/W2074356411","https://openalex.org/W2090951600","https://openalex.org/W2144756000","https://openalex.org/W2147490203","https://openalex.org/W2156709807","https://openalex.org/W2218935401","https://openalex.org/W2277498883","https://openalex.org/W2345356450","https://openalex.org/W2436394355","https://openalex.org/W2520456639","https://openalex.org/W2624340939","https://openalex.org/W2904542630","https://openalex.org/W2952069819","https://openalex.org/W2967180365","https://openalex.org/W2979072591","https://openalex.org/W3001983419","https://openalex.org/W4210426730","https://openalex.org/W4382138577","https://openalex.org/W4386076487","https://openalex.org/W4386211229","https://openalex.org/W4397031740","https://openalex.org/W4401042455"],"related_works":[],"abstract_inverted_index":{"As":[0],"video":[1],"content":[2,11,67],"continues":[3],"to":[4,48,75],"proliferate":[5],"across":[6],"streaming":[7],"platforms,":[8],"understanding":[9],"how":[10],"elements":[12],"influence":[13],"audience":[14,127,141],"emotions":[15,128],"has":[16],"become":[17],"increasingly":[18],"important.":[19],"Unlike":[20],"traditional":[21],"emotion":[22,92],"recognition":[23],"approaches":[24],"that":[25,81,91],"rely":[26],"on":[27],"facial":[28],"expressions":[29],"or":[30],"biometric":[31],"data,":[32],"this":[33],"study":[34],"investigates":[35],"whether":[36],"low-level":[37],"audiovisual":[38],"features\u2014such":[39],"as":[40],"colour,":[41],"motion,":[42],"and":[43,64,69,90,97,107,140],"audio":[44,98],"characteristics\u2014can":[45],"be":[46],"used":[47],"infer":[49],"emotional":[50],"responses":[51],"elicited":[52],"by":[53],"film":[54,59],"content.":[55],"Using":[56],"three":[57],"annotated":[58],"clip":[60],"datasets,":[61],"we":[62],"extract":[63],"analyse":[65],"81":[66],"features":[68],"identify":[70],"key":[71],"statistical":[72],"patterns":[73],"linked":[74],"viewer-reported":[76],"emotions.":[77],"Our":[78],"results":[79],"show":[80],"colour-related":[82],"features,":[83],"particularly":[84],"red":[85],"chroma,":[86],"are":[87],"highly":[88],"predictive,":[89],"categories":[93],"exhibit":[94],"distinct":[95],"visual":[96],"profiles.":[99],"We":[100],"trained":[101],"multiple":[102],"supervised":[103],"machine":[104],"learning":[105],"classifiers":[106],"achieved":[108],"test":[109],"accuracy":[110],"over":[111],"88%":[112],"using":[113],"a":[114,121],"Random":[115],"Forest":[116],"model.":[117],"These":[118],"findings":[119],"suggest":[120],"promising,":[122],"non-intrusive":[123],"framework":[124],"for":[125],"decoding":[126],"directly":[129],"from":[130],"media":[131],"content,":[132],"with":[133],"potential":[134],"applications":[135],"in":[136],"the":[137],"creative":[138],"industries":[139],"understanding.":[142]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-03T00:00:00"}