{"id":"https://openalex.org/W2296681377","doi":"https://doi.org/10.1109/taslp.2016.2531286","title":"Exploiting Turn-Taking Temporal Evolution for Personality Trait Perception in Dyadic Conversations","display_name":"Exploiting Turn-Taking Temporal Evolution for Personality Trait Perception in Dyadic Conversations","publication_year":2016,"publication_date":"2016-02-19","ids":{"openalex":"https://openalex.org/W2296681377","doi":"https://doi.org/10.1109/taslp.2016.2531286","mag":"2296681377"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2016.2531286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2531286","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5091093449","display_name":"Ming-Hsiang Su","orcid":"https://orcid.org/0000-0003-0633-774X"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hsiang Su","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103251327","display_name":"Chung\u2010Hsien Wu","orcid":"https://orcid.org/0000-0002-3947-2123"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chung-Hsien Wu","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036202489","display_name":"Yuting Zheng","orcid":"https://orcid.org/0000-0002-2458-6611"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Ting Zheng","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":14.7494,"has_fulltext":false,"cited_by_count":26,"citation_normalized_percentile":{"value":0.98536971,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"24","issue":"4","first_page":"733","last_page":"744"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1203","display_name":"Language and Linguistics"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13155","display_name":"Digital Communication and Language","score":0.9937999844551086,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11148","display_name":"Language, Metaphor, and Cognition","score":0.9894999861717224,"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/hidden-markov-model","display_name":"Hidden Markov model","score":0.6914929151535034},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.651590883731842},{"id":"https://openalex.org/keywords/paralanguage","display_name":"Paralanguage","score":0.6425450444221497},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6158015727996826},{"id":"https://openalex.org/keywords/turn-taking","display_name":"Turn-taking","score":0.5796204805374146},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5036501288414001},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.49070441722869873},{"id":"https://openalex.org/keywords/trait","display_name":"Trait","score":0.4584718346595764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4547325074672699},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45026519894599915},{"id":"https://openalex.org/keywords/recurrent-neural-network","display_name":"Recurrent neural network","score":0.4338011145591736},{"id":"https://openalex.org/keywords/dialog-box","display_name":"Dialog box","score":0.4310864210128784},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.34111785888671875},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.26563429832458496},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.1743743121623993}],"concepts":[{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.6914929151535034},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.651590883731842},{"id":"https://openalex.org/C133378560","wikidata":"https://www.wikidata.org/wiki/Q1753225","display_name":"Paralanguage","level":2,"score":0.6425450444221497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6158015727996826},{"id":"https://openalex.org/C2776352735","wikidata":"https://www.wikidata.org/wiki/Q2313343","display_name":"Turn-taking","level":3,"score":0.5796204805374146},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5036501288414001},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.49070441722869873},{"id":"https://openalex.org/C106934330","wikidata":"https://www.wikidata.org/wiki/Q1971873","display_name":"Trait","level":2,"score":0.4584718346595764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4547325074672699},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45026519894599915},{"id":"https://openalex.org/C147168706","wikidata":"https://www.wikidata.org/wiki/Q1457734","display_name":"Recurrent neural network","level":3,"score":0.4338011145591736},{"id":"https://openalex.org/C173853756","wikidata":"https://www.wikidata.org/wiki/Q86915","display_name":"Dialog box","level":2,"score":0.4310864210128784},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.34111785888671875},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.26563429832458496},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.1743743121623993},{"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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2016.2531286","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2016.2531286","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G204540553","display_name":null,"funder_award_id":"MOST102-2221-E-006-094-MY3","funder_id":"https://openalex.org/F4320322108","funder_display_name":"Ministry of Science and Technology"}],"funders":[{"id":"https://openalex.org/F4320321408","display_name":"Ministry of Education","ror":"https://ror.org/01p262204"},{"id":"https://openalex.org/F4320322108","display_name":"Ministry of Science and Technology","ror":"https://ror.org/032e49973"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W37481676","https://openalex.org/W160561530","https://openalex.org/W577049923","https://openalex.org/W1519475655","https://openalex.org/W1542484523","https://openalex.org/W1546405367","https://openalex.org/W1562816477","https://openalex.org/W1587362683","https://openalex.org/W1736070634","https://openalex.org/W1822098949","https://openalex.org/W1855281795","https://openalex.org/W1973871257","https://openalex.org/W1990666285","https://openalex.org/W2002664886","https://openalex.org/W2019753202","https://openalex.org/W2031234385","https://openalex.org/W2039436341","https://openalex.org/W2043965817","https://openalex.org/W2055863252","https://openalex.org/W2059182093","https://openalex.org/W2076625207","https://openalex.org/W2080507775","https://openalex.org/W2091067638","https://openalex.org/W2095234413","https://openalex.org/W2108806737","https://openalex.org/W2110485445","https://openalex.org/W2114137133","https://openalex.org/W2124614678","https://openalex.org/W2126563904","https://openalex.org/W2133671888","https://openalex.org/W2136264427","https://openalex.org/W2137871902","https://openalex.org/W2140910804","https://openalex.org/W2148146486","https://openalex.org/W2149202561","https://openalex.org/W2152239535","https://openalex.org/W2153635508","https://openalex.org/W2165312226","https://openalex.org/W2168465881","https://openalex.org/W2169863498","https://openalex.org/W2238172349","https://openalex.org/W2273306884","https://openalex.org/W2423024114","https://openalex.org/W2532755691","https://openalex.org/W2620931863","https://openalex.org/W2760908186","https://openalex.org/W2767879018","https://openalex.org/W2801277339","https://openalex.org/W2946138111","https://openalex.org/W4254484601","https://openalex.org/W4254816979","https://openalex.org/W6606489576","https://openalex.org/W6631230844","https://openalex.org/W6632836313","https://openalex.org/W6676271009","https://openalex.org/W6681923411","https://openalex.org/W6682152738","https://openalex.org/W6689959747","https://openalex.org/W6694149297","https://openalex.org/W6738588963","https://openalex.org/W6744805623","https://openalex.org/W6745769539","https://openalex.org/W6751643605","https://openalex.org/W6762846029","https://openalex.org/W7058159095"],"related_works":["https://openalex.org/W2064370490","https://openalex.org/W3166813893","https://openalex.org/W2910013580","https://openalex.org/W2391900574","https://openalex.org/W3200958703","https://openalex.org/W1990078780","https://openalex.org/W3108667266","https://openalex.org/W4389009474","https://openalex.org/W88206204","https://openalex.org/W3137168176"],"abstract_inverted_index":{"In":[0],"dyadic":[1,19,53],"conversations,":[2],"turn-taking":[3,121],"is":[4,21],"a":[5,18,28,52,56,84,90,96,106,189,195],"dynamically":[6],"evolving":[7],"behavior":[8],"strongly":[9],"linked":[10],"to":[11,47,63,88,99,117,194],"paralinguistic":[12],"communication.":[13],"Turn-taking":[14],"temporal":[15,103,122],"evolution":[16,104,123],"in":[17,51,80],"conversation":[20],"inevitable":[22],"and":[23,33,74,124,180],"can":[24],"be":[25],"incorporated":[26],"into":[27],"modeling":[29],"framework":[30],"for":[31,128,135,152,165,208],"characterizing":[32],"recognizing":[34],"the":[35,65,101,109,119,130,136,141,166,185,203],"personality":[36],"traits":[37,169],"(PTs)":[38],"of":[39,77,83,105,132,163,205],"two":[40,133],"speakers.":[41],"This":[42],"study":[43],"presents":[44],"an":[45,159],"approach":[46,187],"automatically":[48],"predicting":[49],"PTs":[50,131],"conversation.":[54],"First,":[55],"recurrent":[57,97],"neural":[58],"network":[59],"(RNN)":[60],"was":[61,115,150,170],"used":[62,151],"model":[64,113,118],"relationship":[66],"between":[67],"Big":[68],"Five":[69],"Inventory":[70],"10":[71],"(BFI-10)":[72],"items":[73],"linguistic":[75],"features":[76],"spoken":[78],"text":[79],"each":[81],"turn":[82],"speaker":[85],"(speaker":[86],"turn)":[87],"output":[89],"BFI-10":[91,142],"profile.":[92],"The":[93,145,154,199],"RNN":[94],"applies":[95],"property":[98],"characterize":[100],"short-term":[102],"dialog.":[107],"Second,":[108],"coupled":[110],"hidden":[111],"Markov":[112],"(C-HMM)":[114],"employed":[116],"long-term":[120],"cross-speaker":[125],"contextual":[126],"information":[127],"detecting":[129],"individuals":[134],"entire":[137],"dialog":[138],"represented":[139],"by":[140],"profile":[143],"sequence.":[144],"Mandarin":[146],"Conversational":[147],"Dialogue":[148],"Corpus":[149],"evaluation.":[153],"evaluation":[155],"result":[156],"shows":[157],"that":[158],"average":[160],"perception":[161],"accuracy":[162],"79.66%":[164],"big":[167],"five":[168],"achieved":[171,188],"using":[172],"five-fold":[173],"cross":[174],"validation.":[175],"Compared":[176],"with":[177],"conventional":[178],"HMM":[179],"support":[181],"vector":[182],"machine-based":[183],"methods,":[184],"proposed":[186],"more":[190],"favorable":[191],"performance":[192],"according":[193],"statistical":[196],"significance":[197],"test.":[198],"encouraging":[200],"results":[201],"confirm":[202],"usability":[204],"this":[206],"system":[207],"future":[209],"applications.":[210]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
