{"id":"https://openalex.org/W3047125248","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156102","title":"Capturing Laughter and Smiles under Genuine Amusement vs. Negative Emotion","display_name":"Capturing Laughter and Smiles under Genuine Amusement vs. Negative Emotion","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W3047125248","doi":"https://doi.org/10.1109/percomworkshops48775.2020.9156102","mag":"3047125248"},"language":"en","primary_location":{"id":"doi:10.1109/percomworkshops48775.2020.9156102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","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/A5044457678","display_name":"Cleo Forman","orcid":null},"institutions":[{"id":"https://openalex.org/I177881444","display_name":"Pomona College","ror":"https://ror.org/0074grg94","country_code":"US","type":"education","lineage":["https://openalex.org/I177881444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Cleo Forman","raw_affiliation_strings":["Pomona College, Claremont, California"],"affiliations":[{"raw_affiliation_string":"Pomona College, Claremont, California","institution_ids":["https://openalex.org/I177881444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056658244","display_name":"Pablo Thiel","orcid":null},"institutions":[{"id":"https://openalex.org/I155707491","display_name":"Haverford College","ror":"https://ror.org/04fnrxr62","country_code":"US","type":"education","lineage":["https://openalex.org/I155707491"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pablo Thiel","raw_affiliation_strings":["Haverford College Haverford, Pennsylvania"],"affiliations":[{"raw_affiliation_string":"Haverford College Haverford, Pennsylvania","institution_ids":["https://openalex.org/I155707491"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032475867","display_name":"Raymond Ptucha","orcid":"https://orcid.org/0000-0002-2712-7429"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Raymond Ptucha","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089506619","display_name":"Miguel Dom\u00ednguez","orcid":null},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Miguel Dominguez","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067170834","display_name":"Cecilia Ovesdotter Alm","orcid":"https://orcid.org/0000-0002-8730-0916"},"institutions":[{"id":"https://openalex.org/I155173764","display_name":"Rochester Institute of Technology","ror":"https://ror.org/00v4yb702","country_code":"US","type":"education","lineage":["https://openalex.org/I155173764"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Cecilia O. Alm","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, New York"],"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, New York","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5044457678"],"corresponding_institution_ids":["https://openalex.org/I177881444"],"apc_list":null,"apc_paid":null,"fwci":0.2155,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.60237114,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11795","display_name":"Humor Studies and Applications","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9987999796867371,"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/T10664","display_name":"Sentiment Analysis and Opinion Mining","score":0.9904999732971191,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/laughter","display_name":"Laughter","score":0.9772240519523621},{"id":"https://openalex.org/keywords/amusement","display_name":"Amusement","score":0.9120131134986877},{"id":"https://openalex.org/keywords/valence","display_name":"Valence (chemistry)","score":0.646251380443573},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.531523585319519},{"id":"https://openalex.org/keywords/emotional-valence","display_name":"Emotional valence","score":0.4673863649368286},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.4161388874053955},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3647417724132538},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3255745768547058},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1848011314868927},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.07786014676094055}],"concepts":[{"id":"https://openalex.org/C2780775679","wikidata":"https://www.wikidata.org/wiki/Q170579","display_name":"Laughter","level":2,"score":0.9772240519523621},{"id":"https://openalex.org/C2779056813","wikidata":"https://www.wikidata.org/wiki/Q2844542","display_name":"Amusement","level":2,"score":0.9120131134986877},{"id":"https://openalex.org/C168900304","wikidata":"https://www.wikidata.org/wiki/Q171407","display_name":"Valence (chemistry)","level":2,"score":0.646251380443573},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.531523585319519},{"id":"https://openalex.org/C3020774634","wikidata":"https://www.wikidata.org/wiki/Q3113318","display_name":"Emotional valence","level":3,"score":0.4673863649368286},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.4161388874053955},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3647417724132538},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3255745768547058},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1848011314868927},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.07786014676094055},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/percomworkshops48775.2020.9156102","is_oa":false,"landing_page_url":"https://doi.org/10.1109/percomworkshops48775.2020.9156102","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1963554665","https://openalex.org/W1967950650","https://openalex.org/W2009062772","https://openalex.org/W2023944159","https://openalex.org/W2054179735","https://openalex.org/W2055531799","https://openalex.org/W2089391141","https://openalex.org/W2111602941","https://openalex.org/W2122528367","https://openalex.org/W2144756000","https://openalex.org/W2148905283","https://openalex.org/W2152318698","https://openalex.org/W2157402253","https://openalex.org/W2167557160","https://openalex.org/W2168031754","https://openalex.org/W2795781874","https://openalex.org/W2897906478","https://openalex.org/W2919127404","https://openalex.org/W2963704628","https://openalex.org/W2979301614","https://openalex.org/W4292994367"],"related_works":["https://openalex.org/W2758213419","https://openalex.org/W3093824766","https://openalex.org/W3092438278","https://openalex.org/W4385559915","https://openalex.org/W4366286706","https://openalex.org/W2174919855","https://openalex.org/W1554062917","https://openalex.org/W202232655","https://openalex.org/W2136022343","https://openalex.org/W2084044240"],"abstract_inverted_index":{"Smiling":[0],"and":[1,33,37,41,47,55,103],"laughter":[2,40,70,106,125],"are":[3],"typically":[4],"associated":[5],"with":[6,24,58,83,113],"amusement.":[7],"If":[8],"they":[9],"occur":[10],"under":[11],"negative":[12,48],"emotions,":[13],"systems":[14],"responding":[15],"naively":[16],"may":[17],"confuse":[18],"an":[19,25],"uncomfortable":[20],"smile":[21,67],"or":[22],"laugh":[23],"amused":[26,108],"state.":[27],"We":[28],"present":[29],"a":[30,65],"passive":[31],"text":[32],"video":[34],"elicitation":[35],"task":[36],"collect":[38],"spontaneous":[39],"smiles":[42],"in":[43],"reaction":[44],"to":[45,85],"amusing":[46],"experiences,":[49],"using":[50],"standard,":[51],"ubiquitous":[52],"sensors":[53],"(webcam":[54],"microphone),":[56],"along":[57],"participant":[59],"self-ratings.":[60],"While":[61],"we":[62,101],"rely":[63],"on":[64,77],"state-of-the-art":[66],"recognizer,":[68],"for":[69,96,116,119],"recognition":[71],"our":[72],"transfer":[73],"learning":[74],"architecture":[75],"enhanced":[76],"modest":[78],"data":[79],"outperforms":[80],"other":[81],"models":[82],"up":[84],"85%":[86],"accuracy":[87],"(F1":[88],"=":[89],"0.86),":[90],"suggesting":[91],"this":[92,120],"technique":[93],"as":[94,107],"promising":[95],"improving":[97],"affect":[98],"models.":[99],"Subsequently,":[100],"analyze":[102],"automatically":[104],"predict":[105],"vs.":[109],"negative.":[110],"However,":[111],"contrasting":[112],"prior":[114],"findings":[115],"acted":[117],"data,":[118],"spontaneously":[121],"elicited":[122],"dataset":[123],"classifying":[124],"by":[126],"emotional":[127],"valence":[128],"is":[129],"not":[130],"satisfactory.":[131]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
