{"id":"https://openalex.org/W2775844589","doi":"https://doi.org/10.1145/3157730","title":"No Need to Laugh Out Loud","display_name":"No Need to Laugh Out Loud","publication_year":2017,"publication_date":"2017-12-19","ids":{"openalex":"https://openalex.org/W2775844589","doi":"https://doi.org/10.1145/3157730","mag":"2775844589"},"language":"en","primary_location":{"id":"doi:10.1145/3157730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3157730","pdf_url":null,"source":{"id":"https://openalex.org/S89276529","display_name":"ACM Transactions on Computer-Human Interaction","issn_l":"1073-0516","issn":["1073-0516","1557-7325"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computer-Human Interaction","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/A5083046363","display_name":"Oswald Barral","orcid":"https://orcid.org/0000-0002-2354-3513"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":true,"raw_author_name":"Oswald Barral","raw_affiliation_strings":["University of Helsinki"],"raw_orcid":"https://orcid.org/0000-0002-2354-3513","affiliations":[{"raw_affiliation_string":"University of Helsinki","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015088895","display_name":"Ilkka Kosunen","orcid":"https://orcid.org/0000-0001-7452-987X"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Ilkka Kosunen","raw_affiliation_strings":["University of Helsinki"],"raw_orcid":"https://orcid.org/0000-0001-7452-987X","affiliations":[{"raw_affiliation_string":"University of Helsinki","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074899838","display_name":"Giulio Jacucci","orcid":"https://orcid.org/0000-0002-9185-7928"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Giulio Jacucci","raw_affiliation_strings":["University of Helsinki"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Helsinki","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083046363"],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":null,"apc_paid":null,"fwci":2.1722,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.88179394,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"24","issue":"6","first_page":"1","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T11795","display_name":"Humor Studies and Applications","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/T10667","display_name":"Emotion and Mood Recognition","score":0.9445000290870667,"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/T12593","display_name":"Communication in Education and Healthcare","score":0.9438999891281128,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social 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/discriminative-model","display_name":"Discriminative model","score":0.8182355165481567},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6406169533729553},{"id":"https://openalex.org/keywords/electroencephalography","display_name":"Electroencephalography","score":0.6136286854743958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.552690863609314},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5514772534370422},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.515624463558197},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5152533650398254},{"id":"https://openalex.org/keywords/skin-conductance","display_name":"Skin conductance","score":0.4221239984035492},{"id":"https://openalex.org/keywords/predictive-power","display_name":"Predictive power","score":0.4157492220401764},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33921942114830017},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2706426978111267},{"id":"https://openalex.org/keywords/neuroscience","display_name":"Neuroscience","score":0.11304903030395508},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.09299176931381226}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8182355165481567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6406169533729553},{"id":"https://openalex.org/C522805319","wikidata":"https://www.wikidata.org/wiki/Q179965","display_name":"Electroencephalography","level":2,"score":0.6136286854743958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552690863609314},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5514772534370422},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.515624463558197},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5152533650398254},{"id":"https://openalex.org/C111902132","wikidata":"https://www.wikidata.org/wiki/Q1326834","display_name":"Skin conductance","level":2,"score":0.4221239984035492},{"id":"https://openalex.org/C2778136018","wikidata":"https://www.wikidata.org/wiki/Q10350689","display_name":"Predictive power","level":2,"score":0.4157492220401764},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33921942114830017},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2706426978111267},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.11304903030395508},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.09299176931381226},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C136229726","wikidata":"https://www.wikidata.org/wiki/Q327092","display_name":"Biomedical engineering","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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3157730","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3157730","pdf_url":null,"source":{"id":"https://openalex.org/S89276529","display_name":"ACM Transactions on Computer-Human Interaction","issn_l":"1073-0516","issn":["1073-0516","1557-7325"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Computer-Human Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":98,"referenced_works":["https://openalex.org/W112116702","https://openalex.org/W208549059","https://openalex.org/W325159850","https://openalex.org/W581678240","https://openalex.org/W1532736914","https://openalex.org/W1549671171","https://openalex.org/W1576588741","https://openalex.org/W1581423993","https://openalex.org/W1591988934","https://openalex.org/W1594278800","https://openalex.org/W1749601410","https://openalex.org/W1816318831","https://openalex.org/W1831050183","https://openalex.org/W1848799228","https://openalex.org/W1867691547","https://openalex.org/W1898605393","https://openalex.org/W1941755770","https://openalex.org/W1968399311","https://openalex.org/W1971488698","https://openalex.org/W1973656456","https://openalex.org/W1983573987","https://openalex.org/W1991736054","https://openalex.org/W1996407329","https://openalex.org/W1999564783","https://openalex.org/W2002055708","https://openalex.org/W2008619571","https://openalex.org/W2009989063","https://openalex.org/W2011348380","https://openalex.org/W2014423218","https://openalex.org/W2015294573","https://openalex.org/W2018097218","https://openalex.org/W2018266017","https://openalex.org/W2019317200","https://openalex.org/W2025217905","https://openalex.org/W2028350245","https://openalex.org/W2029517603","https://openalex.org/W2031828545","https://openalex.org/W2036645731","https://openalex.org/W2042332757","https://openalex.org/W2045889034","https://openalex.org/W2052504859","https://openalex.org/W2053807801","https://openalex.org/W2054780155","https://openalex.org/W2056658203","https://openalex.org/W2065105236","https://openalex.org/W2069594567","https://openalex.org/W2072995952","https://openalex.org/W2073712837","https://openalex.org/W2082294121","https://openalex.org/W2083193074","https://openalex.org/W2084397606","https://openalex.org/W2086000091","https://openalex.org/W2092802614","https://openalex.org/W2097130494","https://openalex.org/W2099585577","https://openalex.org/W2110089858","https://openalex.org/W2112347119","https://openalex.org/W2112626611","https://openalex.org/W2114025269","https://openalex.org/W2117863270","https://openalex.org/W2118364976","https://openalex.org/W2118710099","https://openalex.org/W2119387367","https://openalex.org/W2127874711","https://openalex.org/W2128118949","https://openalex.org/W2130831568","https://openalex.org/W2134033472","https://openalex.org/W2134643721","https://openalex.org/W2137780513","https://openalex.org/W2140808952","https://openalex.org/W2142657413","https://openalex.org/W2144194200","https://openalex.org/W2145710484","https://openalex.org/W2149186291","https://openalex.org/W2153631993","https://openalex.org/W2164055860","https://openalex.org/W2164845627","https://openalex.org/W2164985412","https://openalex.org/W2165501765","https://openalex.org/W2170272068","https://openalex.org/W2171960770","https://openalex.org/W2207500339","https://openalex.org/W2293081071","https://openalex.org/W2293989553","https://openalex.org/W2294888579","https://openalex.org/W2327155945","https://openalex.org/W2396728763","https://openalex.org/W2462120129","https://openalex.org/W2508203630","https://openalex.org/W2547549442","https://openalex.org/W2553486984","https://openalex.org/W2554409231","https://openalex.org/W2589735465","https://openalex.org/W2610519523","https://openalex.org/W2894003650","https://openalex.org/W3105976716","https://openalex.org/W3175761592","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2729514902","https://openalex.org/W2024160000","https://openalex.org/W2773500201","https://openalex.org/W2061273563","https://openalex.org/W2285052147","https://openalex.org/W4287995534","https://openalex.org/W2743258233","https://openalex.org/W2998168123","https://openalex.org/W1972656095","https://openalex.org/W2970216048"],"abstract_inverted_index":{"We":[0,21,43,85],"explore":[1],"electroencephalography":[2],"(EEG),":[3],"electrodermal":[4],"activity":[5],"(EDA),":[6],"and":[7,58,118,139,167],"electrocardiography":[8],"(ECG)":[9],"as":[10],"valid":[11],"sources":[12],"to":[13,47,69,73,143,170],"infer":[14,48],"humor":[15],"appraisal":[16,51],"in":[17,26,75,92,106],"a":[18,31,124],"realistic":[19],"environment.":[20],"report":[22],"on":[23,108,149],"an":[24],"experiment":[25],"which":[27],"25":[28],"participants":[29],"browsed":[30],"popular":[32],"user-generated":[33],"humorous":[34],"content":[35,57],"website":[36],"while":[37],"their":[38],"physiological":[39,65,93,136,165],"responses":[40],"were":[41],"recorded.":[42],"build":[44],"predictive":[45,130],"models":[46],"the":[49,53,56,61,78,81,88,97,101,109,129,135],"participants\u2019":[50],"of":[52,55,63,77,100,116,132,134,161],"humorousness":[54],"demonstrate":[59],"that":[60,87],"fusion":[62],"several":[64],"signals":[66,94,137,166,175],"can":[67],"lead":[68],"classification":[70,154],"performances":[71],"up":[72],"0.73":[74],"terms":[76,160],"area":[79],"under":[80],"ROC":[82],"curve":[83],"(AUC).":[84],"identify":[86],"most":[89],"discriminative":[90],"changes":[91,107],"happen":[95],"at":[96],"later":[98],"stages":[99],"information":[102],"consumption":[103],"process,":[104],"reflected":[105],"upper":[110],"EEG":[111],"frequency":[112],"bands,":[113],"higher":[114],"levels":[115],"EDA,":[117],"heart-rate":[119],"acceleration.":[120],"Additionally,":[121],"we":[122],"present":[123],"comprehensive":[125],"analysis":[126],"by":[127,140],"benchmarking":[128],"power":[131],"each":[133],"separately,":[138],"comparing":[141],"them":[142],"state-of-the-art":[144],"facial":[145,150],"recognition":[146],"algorithms":[147],"based":[148],"video":[151,168],"recordings.":[152],"The":[153],"performance":[155],"ranges":[156],"from":[157],"0.88":[158],"(in":[159],"AUC)":[162],"when":[163,172],"combining":[164],"recordings,":[169],"0.55":[171],"using":[173],"ECG":[174],"alone.":[176]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}