{"id":"https://openalex.org/W2548862549","doi":"https://doi.org/10.1145/2993148.2993180","title":"Sequence-based multimodal behavior modeling for social agents","display_name":"Sequence-based multimodal behavior modeling for social agents","publication_year":2016,"publication_date":"2016-10-31","ids":{"openalex":"https://openalex.org/W2548862549","doi":"https://doi.org/10.1145/2993148.2993180","mag":"2548862549"},"language":"en","primary_location":{"id":"doi:10.1145/2993148.2993180","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2993148.2993180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM International Conference on Multimodal Interaction","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/A5037314335","display_name":"Soumia Dermouche","orcid":"https://orcid.org/0000-0002-9060-3627"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Soumia Dermouche","raw_affiliation_strings":["CNRS, France / Telecom ParisTech, France"],"affiliations":[{"raw_affiliation_string":"CNRS, France / Telecom ParisTech, France","institution_ids":["https://openalex.org/I19370010","https://openalex.org/I1294671590","https://openalex.org/I12356871"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079026902","display_name":"Catherine P\u00e9lachaud","orcid":"https://orcid.org/0000-0003-1008-0799"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I19370010","display_name":"Orange (France)","ror":"https://ror.org/035j0tq82","country_code":"FR","type":"company","lineage":["https://openalex.org/I19370010"]},{"id":"https://openalex.org/I12356871","display_name":"T\u00e9l\u00e9com Paris","ror":"https://ror.org/01naq7912","country_code":"FR","type":"education","lineage":["https://openalex.org/I12356871","https://openalex.org/I205703379","https://openalex.org/I4210145102"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catherine Pelachaud","raw_affiliation_strings":["CNRS, France / Telecom ParisTech, France"],"affiliations":[{"raw_affiliation_string":"CNRS, France / Telecom ParisTech, France","institution_ids":["https://openalex.org/I19370010","https://openalex.org/I1294671590","https://openalex.org/I12356871"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037314335"],"corresponding_institution_ids":["https://openalex.org/I12356871","https://openalex.org/I1294671590","https://openalex.org/I19370010"],"apc_list":null,"apc_paid":null,"fwci":1.7653,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.8634036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"29","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9868999719619751,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11439","display_name":"Video Analysis and Summarization","score":0.977400004863739,"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"}},{"id":"https://openalex.org/T13083","display_name":"Advanced Text Analysis Techniques","score":0.974399983882904,"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/converse","display_name":"Converse","score":0.8376075029373169},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7336997389793396},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6029030084609985},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.5516406893730164},{"id":"https://openalex.org/keywords/interpersonal-communication","display_name":"Interpersonal communication","score":0.5454228520393372},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49942564964294434},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.44544166326522827},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.37947967648506165},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12347680330276489},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.11836150288581848},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08583870530128479}],"concepts":[{"id":"https://openalex.org/C2776809875","wikidata":"https://www.wikidata.org/wiki/Q1375963","display_name":"Converse","level":2,"score":0.8376075029373169},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7336997389793396},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6029030084609985},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.5516406893730164},{"id":"https://openalex.org/C164850336","wikidata":"https://www.wikidata.org/wiki/Q3685487","display_name":"Interpersonal communication","level":2,"score":0.5454228520393372},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49942564964294434},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.44544166326522827},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37947967648506165},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12347680330276489},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.11836150288581848},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08583870530128479},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2993148.2993180","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2993148.2993180","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 18th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323155","display_name":"Chinese Academy of Agricultural Sciences","ror":"https://ror.org/0313jb750"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W153025040","https://openalex.org/W1567179209","https://openalex.org/W1584003909","https://openalex.org/W1619539236","https://openalex.org/W1641039719","https://openalex.org/W1981950962","https://openalex.org/W1983362722","https://openalex.org/W2015915886","https://openalex.org/W2023693297","https://openalex.org/W2040238515","https://openalex.org/W2058495746","https://openalex.org/W2059516407","https://openalex.org/W2070362360","https://openalex.org/W2088956580","https://openalex.org/W2102515373","https://openalex.org/W2102998034","https://openalex.org/W2109601284","https://openalex.org/W2132947339","https://openalex.org/W2143900517","https://openalex.org/W2144182447","https://openalex.org/W2146357017","https://openalex.org/W2147694185","https://openalex.org/W2152969724","https://openalex.org/W2159918168","https://openalex.org/W2162247077","https://openalex.org/W2167476895","https://openalex.org/W2251385018","https://openalex.org/W2295370783","https://openalex.org/W2603514790","https://openalex.org/W4249550410","https://openalex.org/W4254182148","https://openalex.org/W6635135962","https://openalex.org/W6834728319"],"related_works":["https://openalex.org/W2387449261","https://openalex.org/W2418518962","https://openalex.org/W2963377682","https://openalex.org/W2043159103","https://openalex.org/W2391769344","https://openalex.org/W2359260952","https://openalex.org/W4297790016","https://openalex.org/W2769269860","https://openalex.org/W2020701214","https://openalex.org/W4287585143"],"abstract_inverted_index":{"The":[0,33],"goal":[1],"of":[2,27,30,35,53,64,86,95,102,107],"this":[3],"work":[4],"is":[5],"to":[6,12,82],"model":[7],"a":[8,71,93],"virtual":[9],"character":[10],"able":[11],"converse":[13],"with":[14],"different":[15],"interpersonal":[16,90],"attitudes.":[17],"To":[18,49],"build":[19],"our":[20,80,103],"model,":[21],"we":[22,61,69],"rely":[23],"on":[24,39],"the":[25,51,100,112],"analysis":[26],"multimodal":[28],"corpora":[29],"non-verbal":[31,54,87],"behaviors.":[32],"interpretation":[34],"these":[36],"behaviors":[37,88],"depends":[38],"how":[40],"they":[41],"are":[42],"sequenced":[43],"(order)":[44],"and":[45,59],"distributed":[46],"over":[47,111],"time.":[48],"encompass":[50],"dynamics":[52],"signals":[55],"across":[56],"both":[57],"modalities":[58],"time,":[60],"make":[62],"use":[63],"temporal":[65,75,84],"sequence":[66,76],"mining.":[67],"Specifically,":[68],"propose":[70],"new":[72],"algorithm":[73,81,104],"for":[74],"extraction.":[77],"We":[78,98],"apply":[79],"extract":[83],"patterns":[85],"expressing":[89],"attitudes":[91],"from":[92],"corpus":[94],"job":[96],"interviews.":[97],"demonstrate":[99],"efficiency":[101],"in":[105],"terms":[106],"significant":[108],"accuracy":[109],"improvement":[110],"state-of-the-art":[113],"algorithms.":[114]},"counts_by_year":[{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}