{"id":"https://openalex.org/W3111159469","doi":"https://doi.org/10.1109/smc42975.2020.9283474","title":"Analyzing the Extent of Rapport in Groups of Triads Via Interactional Synchrony","display_name":"Analyzing the Extent of Rapport in Groups of Triads Via Interactional Synchrony","publication_year":2020,"publication_date":"2020-10-11","ids":{"openalex":"https://openalex.org/W3111159469","doi":"https://doi.org/10.1109/smc42975.2020.9283474","mag":"3111159469"},"language":"en","primary_location":{"id":"doi:10.1109/smc42975.2020.9283474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283474","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 Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5024269953","display_name":"Nicholas Stiles Wilkins","orcid":"https://orcid.org/0000-0001-6891-2434"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Wilkins","raw_affiliation_strings":["Google Inc., Mountain View, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Google Inc., Mountain View, CA, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"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"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ifeoma Nwogu","raw_affiliation_strings":["Rochester Institute of Technology, Rochester, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rochester Institute of Technology, Rochester, NY, USA","institution_ids":["https://openalex.org/I155173764"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2743,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.4852107,"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":"234","last_page":"240"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9793000221252441,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T14394","display_name":"Cognitive Science and Education Research","score":0.9645000100135803,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12946","display_name":"Fractal and DNA sequence analysis","score":0.9448999762535095,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5114311575889587},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4784576892852783},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.36961859464645386},{"id":"https://openalex.org/keywords/cognitive-psychology","display_name":"Cognitive psychology","score":0.3340374231338501}],"concepts":[{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5114311575889587},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4784576892852783},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.36961859464645386},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.3340374231338501}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/smc42975.2020.9283474","is_oa":false,"landing_page_url":"https://doi.org/10.1109/smc42975.2020.9283474","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 Systems, Man, and Cybernetics (SMC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.7099999785423279}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W634989052","https://openalex.org/W1506218547","https://openalex.org/W1595126664","https://openalex.org/W1975355218","https://openalex.org/W2027624334","https://openalex.org/W2077043934","https://openalex.org/W2091794537","https://openalex.org/W2098597588","https://openalex.org/W2103572263","https://openalex.org/W2120220258","https://openalex.org/W2122934497","https://openalex.org/W2138804008","https://openalex.org/W2152239535","https://openalex.org/W2156435103","https://openalex.org/W2165168736","https://openalex.org/W2168676811","https://openalex.org/W2213313895","https://openalex.org/W2289026518","https://openalex.org/W2400082295","https://openalex.org/W2559085405","https://openalex.org/W2622613218","https://openalex.org/W2734289922","https://openalex.org/W4249142012","https://openalex.org/W4294255555","https://openalex.org/W6630228798","https://openalex.org/W6730277886"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Research":[0],"in":[1,8,66,143,180,186],"social":[2],"psychology":[3],"has":[4],"extensively":[5],"shown":[6],"that":[7,118,142,165],"cohesive":[9],"groups,":[10],"individuals":[11],"often":[12],"mirror":[13],"each":[14,67],"other's":[15],"prosody,":[16],"facial":[17,151,160],"expressions,":[18],"and":[19,37,83],"body":[20,84,154],"movements.":[21,85,155],"This":[22],"mirroring":[23],"effect":[24],"can":[25],"help":[26],"determine":[27],"the":[28,33,62,69,80,88,99,107,133,182],"level":[29],"of":[30,35,53,55,64,68,101,110,112,184],"comfort":[31],"or":[32,42],"extent":[34,63,183],"engagement":[36],"genuine":[38],"interest":[39],"between":[40,135],"two":[41],"more":[43,124],"interlocutors.":[44],"In":[45],"this":[46,144,157],"work,":[47],"using":[48,159,173],"an":[49,166],"annotated":[50],"dataset":[51],"consisting":[52],"videos":[54],"three-person":[56],"conversations,":[57],"we":[58,163],"aim":[59],"to":[60,131],"analyze":[61],"rapport":[65],"triadic":[70],"groups.":[71,188],"We":[72],"generate":[73],"behavioral":[74,108],"curves":[75,109],"from":[76,79,94,150],"features":[77],"extracted":[78],"participants'":[81],"face":[82],"These":[86],"are":[87,103],"sampled":[89],"time":[90],"series":[91],"signals":[92],"resulting":[93],"their":[95],"multimodal":[96],"features.":[97],"Next,":[98],"extents":[100],"synchrony":[102,146,185],"analyzed":[104],"by":[105],"aligning":[106],"pairs":[111],"participants.":[113],"The":[114],"alignment":[115],"tests":[116],"show":[117,141,164],"basic":[119],"correlation":[120],"coefficient":[121],"measures":[122],"outperform":[123],"advanced":[125],"curve":[126],"matching":[127],"techniques":[128],"when":[129],"used":[130],"estimate":[132],"similarities":[134],"multidimensional":[136],"behavior":[137],"curves.":[138],"They":[139],"also":[140],"dataset,":[145],"is":[147],"better":[148],"observed":[149],"expressions":[152],"than":[153],"For":[156],"reason,":[158],"action":[161],"units,":[162],"end-to-end":[167],"recursive":[168],"neural":[169],"network":[170],"(RNN)":[171],"trained":[172],"a":[174],"regression":[175],"loss":[176],"yields":[177],"good":[178],"results":[179],"predicting":[181],"small":[187]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}