{"id":"https://openalex.org/W4387421761","doi":"https://doi.org/10.1145/3577190.3614153","title":"Analyzing Synergetic Functional Spectrum from Head Movements and Facial Expressions in Conversations","display_name":"Analyzing Synergetic Functional Spectrum from Head Movements and Facial Expressions in Conversations","publication_year":2023,"publication_date":"2023-10-07","ids":{"openalex":"https://openalex.org/W4387421761","doi":"https://doi.org/10.1145/3577190.3614153"},"language":"en","primary_location":{"id":"doi:10.1145/3577190.3614153","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577190.3614153","pdf_url":null,"source":{"id":"https://openalex.org/S4363608440","display_name":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","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":"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/A5051722725","display_name":"M Imamura","orcid":"https://orcid.org/0009-0009-1835-779X"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Mai Imamura","raw_affiliation_strings":["Yokohama National University, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046425069","display_name":"A Tashiro","orcid":"https://orcid.org/0009-0000-9079-1800"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Ayane Tashiro","raw_affiliation_strings":["Yokohama National University, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University, Japan","institution_ids":["https://openalex.org/I180203408"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059300000","display_name":"Shiro Kumano","orcid":"https://orcid.org/0000-0002-1231-5566"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Shiro Kumano","raw_affiliation_strings":["NTT Communication Science Laboratories, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014373252","display_name":"Kazuhiro Otsuka","orcid":"https://orcid.org/0000-0003-4352-3955"},"institutions":[{"id":"https://openalex.org/I180203408","display_name":"Yokohama National University","ror":"https://ror.org/03zyp6p76","country_code":"JP","type":"education","lineage":["https://openalex.org/I180203408"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuhiro Otsuka","raw_affiliation_strings":["Yokohama National University, Japan"],"affiliations":[{"raw_affiliation_string":"Yokohama National University, Japan","institution_ids":["https://openalex.org/I180203408"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5051722725"],"corresponding_institution_ids":["https://openalex.org/I180203408"],"apc_list":null,"apc_paid":null,"fwci":0.9841,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82653061,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"42","last_page":"50"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11094","display_name":"Face Recognition and Perception","score":0.9902999997138977,"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/T11094","display_name":"Face Recognition and Perception","score":0.9902999997138977,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9901999831199646,"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/T12032","display_name":"Multisensory perception and integration","score":0.9861000180244446,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6024364233016968},{"id":"https://openalex.org/keywords/non-negative-matrix-factorization","display_name":"Non-negative matrix factorization","score":0.4979705810546875},{"id":"https://openalex.org/keywords/basis","display_name":"Basis (linear algebra)","score":0.49193334579467773},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48948562145233154},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47320955991744995},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.45757389068603516},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.3975662589073181},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2900656461715698}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6024364233016968},{"id":"https://openalex.org/C152671427","wikidata":"https://www.wikidata.org/wiki/Q10843505","display_name":"Non-negative matrix factorization","level":4,"score":0.4979705810546875},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.49193334579467773},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48948562145233154},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47320955991744995},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.45757389068603516},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.3975662589073181},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2900656461715698},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"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},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3577190.3614153","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3577190.3614153","pdf_url":null,"source":{"id":"https://openalex.org/S4363608440","display_name":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","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":"INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4699999988079071,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W1902027874","https://openalex.org/W2030695833","https://openalex.org/W2063932314","https://openalex.org/W2070135644","https://openalex.org/W2087652715","https://openalex.org/W2105198535","https://openalex.org/W2132024850","https://openalex.org/W2144359569","https://openalex.org/W2166563286","https://openalex.org/W2171757151","https://openalex.org/W2172199658","https://openalex.org/W2185948909","https://openalex.org/W2485657981","https://openalex.org/W2621061298","https://openalex.org/W2891399311","https://openalex.org/W2913059114","https://openalex.org/W3008872739","https://openalex.org/W3108715150","https://openalex.org/W3191026187","https://openalex.org/W3205651568","https://openalex.org/W3207267043"],"related_works":["https://openalex.org/W2127243424","https://openalex.org/W2037504162","https://openalex.org/W2792706544","https://openalex.org/W1568451138","https://openalex.org/W2539013788","https://openalex.org/W2156699640","https://openalex.org/W2045265907","https://openalex.org/W2075222291","https://openalex.org/W2146544734","https://openalex.org/W4287022770"],"abstract_inverted_index":{"A":[0],"framework,":[1],"synergetic":[2,92,106],"functional":[3,32,37,56,81,93,107,133,178],"spectrum":[4,33,57,82,114],"analysis":[5],"(sFSA),":[6],"is":[7,58,83,115],"proposed":[8],"to":[9,34,175],"reveal":[10],"how":[11],"multimodal":[12,101,150],"nonverbal":[13,42],"behaviors":[14],"such":[15],"as":[16,60,117],"head":[17,182],"movements":[18,183],"and":[19,39,99,103,124,146,159,162,184,188],"facial":[20,185],"expressions":[21],"cooperatively":[22],"perform":[23],"communicative":[24],"functions":[25,68],"in":[26,41,131,152],"conversations.":[27],"We":[28],"first":[29],"introduce":[30],"a":[31,45,86,105,118],"represent":[35,128],"the":[36,55,61,80,91,112,122,129,132,153,177,190,193],"multiplicity":[38],"ambiguity":[40],"behaviors,":[43],"e.g.,":[44],"nod":[46],"could":[47],"imply":[48],"listening,":[49],"agreement,":[50],"or":[51],"both.":[52],"More":[53],"specifically,":[54],"defined":[59],"distribution":[62],"of":[63,66,121,192],"perceptual":[64],"intensities":[65],"multiple":[67,70,76],"across":[69],"modalities,":[71],"which":[72,95,127],"are":[73],"based":[74,169],"on":[75,170],"raters\u2019":[77],"judgments.":[78],"Next,":[79],"decomposed":[84],"into":[85],"small":[87],"basis":[88],"set":[89],"called":[90],"basis,":[94],"can":[96],"characterize":[97],"primary":[98],"distinctive":[100],"functionalities":[102],"span":[104],"space.":[108,134],"Using":[109],"these":[110],"bases,":[111],"input":[113],"approximated":[116],"linear":[119],"combination":[120],"bases":[123],"corresponding":[125],"coefficients,":[126],"coordinate":[130],"To":[135],"that":[136],"purpose,":[137],"this":[138],"paper":[139],"proposes":[140,166],"semi-orthogonal":[141],"nonnegative":[142],"matrix":[143],"factorization":[144],"(SO-NMF)":[145],"discovers":[147],"some":[148],"essential":[149],"synergies":[151],"listener\u2019s":[154],"back-channel,":[155],"thinking,":[156],"positive":[157],"responses,":[158],"speaker\u2019s":[160],"thinking":[161],"addressing.":[163],"Furthermore,":[164],"we":[165],"regression":[167],"models":[168],"convolutional":[171],"neural":[172],"networks":[173],"(CNNs)":[174],"estimate":[176],"space":[179],"coordinates":[180],"from":[181],"action":[186],"units,":[187],"confirm":[189],"potential":[191],"sFSA.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}