{"id":"https://openalex.org/W4210508275","doi":"https://doi.org/10.1109/fg52635.2021.9667067","title":"Coupled Systems for Modeling Rapport Between Interlocutors","display_name":"Coupled Systems for Modeling Rapport Between Interlocutors","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4210508275","doi":"https://doi.org/10.1109/fg52635.2021.9667067"},"language":"en","primary_location":{"id":"doi:10.1109/fg52635.2021.9667067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9667067","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","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/A5037922605","display_name":"Srijan Sharma","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":"Srijan Sharma","raw_affiliation_strings":["Rochester Institute of Technology,Computer Science Dept.,NY","Computer Science Dept., Rochester Institute of Technology, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Computer Science Dept.,NY","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Computer Science Dept., Rochester Institute of Technology, NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039315362","display_name":"Kantha Girish Gangadhara","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":"Kantha Girish Gangadhara","raw_affiliation_strings":["Rochester Institute of Technology,Computer Science Dept.,NY","Computer Science Dept., Rochester Institute of Technology, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Computer Science Dept.,NY","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Computer Science Dept., Rochester Institute of Technology, NY","institution_ids":["https://openalex.org/I155173764"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100746424","display_name":"Xu Fei","orcid":"https://orcid.org/0000-0002-9353-9528"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fei Xu","raw_affiliation_strings":["Computer Science and Engineering, University at Buffalo,SUNY","Computer Science and Engineering, University at Buffalo, SUNY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Engineering, University at Buffalo,SUNY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Computer Science and Engineering, University at Buffalo, SUNY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037429462","display_name":"Anne Solbu Slowe","orcid":null},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anne Solbu Slowe","raw_affiliation_strings":["University at Buffalo,Communication Dept.,SUNY","Communication Dept., University at Buffalo, SUNY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Communication Dept.,SUNY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Communication Dept., University at Buffalo, SUNY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073706037","display_name":"Mark G. Frank","orcid":"https://orcid.org/0000-0002-0906-1497"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark G. Frank","raw_affiliation_strings":["University at Buffalo,Communication Dept.,SUNY","Communication Dept., University at Buffalo, SUNY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Buffalo,Communication Dept.,SUNY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Communication Dept., University at Buffalo, SUNY","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5022590472","display_name":"Ifeoma Nwogu","orcid":"https://orcid.org/0000-0003-1414-6433"},"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"]},{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ifeoma Nwogu","raw_affiliation_strings":["Rochester Institute of Technology,Computer Science Dept.,NY","Computer Science and Engineering, University at Buffalo, SUNY","Computer Science Dept., Rochester Institute of Technology, NY"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology,Computer Science Dept.,NY","institution_ids":["https://openalex.org/I155173764"]},{"raw_affiliation_string":"Computer Science and Engineering, University at Buffalo, SUNY","institution_ids":["https://openalex.org/I63190737"]},{"raw_affiliation_string":"Computer Science Dept., Rochester Institute of Technology, NY","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6065,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.82909605,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11431","display_name":"Action Observation and Synchronization","score":0.9962999820709229,"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/T11431","display_name":"Action Observation and Synchronization","score":0.9962999820709229,"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":0.9955999851226807,"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/T12268","display_name":"Deception detection and forensic psychology","score":0.9904999732971191,"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/mirroring","display_name":"Mirroring","score":0.8034335374832153},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6482365131378174},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6041266322135925},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5622386932373047},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.5465564131736755},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5311466455459595},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4667055606842041},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4247034788131714},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3787819743156433},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3747614622116089},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21723273396492004},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.13010850548744202},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09755823016166687},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08040860295295715},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.07971367239952087}],"concepts":[{"id":"https://openalex.org/C189645446","wikidata":"https://www.wikidata.org/wiki/Q350865","display_name":"Mirroring","level":2,"score":0.8034335374832153},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6482365131378174},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6041266322135925},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5622386932373047},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.5465564131736755},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5311466455459595},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4667055606842041},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4247034788131714},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3787819743156433},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3747614622116089},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21723273396492004},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.13010850548744202},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09755823016166687},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08040860295295715},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.07971367239952087},{"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/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg52635.2021.9667067","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9667067","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G998836793","display_name":null,"funder_award_id":"1846076","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1889777305","https://openalex.org/W2087681821","https://openalex.org/W2098597588","https://openalex.org/W2152239535","https://openalex.org/W2278960397","https://openalex.org/W2537282113","https://openalex.org/W2766306366","https://openalex.org/W2804452021","https://openalex.org/W2805662932","https://openalex.org/W2883409523","https://openalex.org/W2896457183","https://openalex.org/W2921906393","https://openalex.org/W2963731165","https://openalex.org/W2964051877","https://openalex.org/W2985882473","https://openalex.org/W4294255555","https://openalex.org/W4385245566","https://openalex.org/W6639503105","https://openalex.org/W6695123693","https://openalex.org/W6712697740","https://openalex.org/W6739901393","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2081134829","https://openalex.org/W2012196799","https://openalex.org/W2914953798","https://openalex.org/W2016936103","https://openalex.org/W1969752774","https://openalex.org/W2551163313","https://openalex.org/W2294049764","https://openalex.org/W2108584188","https://openalex.org/W1980969160","https://openalex.org/W2404041551"],"abstract_inverted_index":{"This":[0],"research":[1],"work":[2],"explores":[3],"different":[4],"machine":[5],"learning":[6,172],"techniques":[7],"for":[8,96,141,169,195],"recognizing":[9],"the":[10,47,52,76,83,100,131,135,143,157,167,190,205],"existence":[11,136,158],"of":[12,31,49,55,57,70,102,106,119,137,159,177,192,207],"rapport":[13,97,180],"between":[14,51,82],"two":[15],"people":[16],"engaged":[17],"in":[18,121,133,204],"a":[19,35,125],"conversation,":[20],"based":[21,127],"on":[22,110,147],"their":[23,62],"facial":[24],"expressions.":[25],"First":[26],"using":[27],"artificially":[28],"generated":[29],"pairs":[30,56,69,118,176],"correlated":[32],"data":[33,149],"signals,":[34],"coupled":[36,71,93,128,162,193],"gated":[37],"recurrent":[38],"unit":[39],"(cGRU)":[40],"neural":[41],"network":[42],"is":[43,85],"developed":[44,77],"to":[45,155],"measure":[46],"extent":[48,101],"similarity":[50],"temporal":[53],"evolution":[54],"time-series":[58],"signals.":[59],"By":[60],"pre-selecting":[61],"covariance":[63,81],"values":[64],"(between":[65],"0.1":[66],"and":[67,90,104,181,187],"1.0),":[68],"sequences":[72],"are":[73,108],"generated.":[74],"Using":[75,88],"cGRU":[78],"architecture,":[79],"this":[80,89,170],"signals":[84],"successfully":[86],"recovered.":[87],"various":[91],"other":[92],"architectures,":[94],"tests":[95],"(measured":[98],"by":[99],"mirroring":[103],"mimicking":[105],"behaviors)":[107],"conducted":[109],"real-life":[111],"datasets.":[112],"On":[113],"fifty-nine":[114],"(N":[115],"=":[116],"59)":[117],"interactants":[120,178],"an":[122,197],"interview":[123],"setting,":[124],"transformer":[126,163],"architecture":[129],"performs":[130],"best":[132,168],"determining":[134,174],"rapport.":[138,160],"To":[139],"test":[140],"generalization,":[142],"models":[144],"were":[145],"applied":[146],"never-been-seen":[148],"collected":[150],"14":[151],"years":[152],"prior,":[153],"also":[154],"predict":[156],"The":[161,185],"model":[164],"again":[165],"performed":[166],"transfer":[171],"task,":[173],"which":[175,182],"had":[179],"did":[183],"not.":[184],"experiments":[186],"results":[188],"demonstrate":[189],"advantages":[191],"architectures":[194],"predicting":[196],"interactional":[198],"process":[199],"such":[200],"as":[201],"rapport,":[202],"even":[203],"presence":[206],"limited":[208],"data.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}