{"id":"https://openalex.org/W2127950920","doi":"https://doi.org/10.1145/2350046.2350104","title":"Estimation of conversational activation level during video chat using turn-taking information.","display_name":"Estimation of conversational activation level during video chat using turn-taking information.","publication_year":2012,"publication_date":"2012-08-28","ids":{"openalex":"https://openalex.org/W2127950920","doi":"https://doi.org/10.1145/2350046.2350104","mag":"2127950920"},"language":"en","primary_location":{"id":"doi:10.1145/2350046.2350104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2350046.2350104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th asia pacific conference on Computer human 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/A5037134406","display_name":"Yurie Moriya","orcid":null},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Yurie Moriya","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016902367","display_name":"Takahiro Tanaka","orcid":"https://orcid.org/0000-0003-4174-2214"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Takahiro Tanaka","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009597246","display_name":"Toshimitu Miyajima","orcid":null},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Toshimitu Miyajima","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075294967","display_name":"Kinya Fujita","orcid":"https://orcid.org/0000-0002-1193-5069"},"institutions":[{"id":"https://openalex.org/I92614990","display_name":"Tokyo University of Agriculture and Technology","ror":"https://ror.org/00qg0kr10","country_code":"JP","type":"education","lineage":["https://openalex.org/I92614990"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kinya Fujita","raw_affiliation_strings":["Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Tokyo University of Agriculture and Technology, Koganei, Tokyo, Japan","institution_ids":["https://openalex.org/I92614990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037134406"],"corresponding_institution_ids":["https://openalex.org/I92614990"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.12999443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"289","last_page":"298"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T12031","display_name":"Speech and dialogue systems","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T10383","display_name":"Language, Discourse, Communication Strategies","score":0.9965000152587891,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6845066547393799},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.6590876579284668},{"id":"https://openalex.org/keywords/conversation","display_name":"Conversation","score":0.657175600528717},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6132240891456604},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.5737316012382507},{"id":"https://openalex.org/keywords/turn-taking","display_name":"Turn-taking","score":0.555840015411377},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5554246306419373},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.5265458226203918},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5191675424575806},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.48195335268974304},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.39044293761253357},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36585885286331177},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.26836562156677246},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.221096009016037},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2136324644088745},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.15646493434906006},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1053655743598938},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09327805042266846}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6845066547393799},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.6590876579284668},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.657175600528717},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6132240891456604},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.5737316012382507},{"id":"https://openalex.org/C2776352735","wikidata":"https://www.wikidata.org/wiki/Q2313343","display_name":"Turn-taking","level":3,"score":0.555840015411377},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5554246306419373},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.5265458226203918},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5191675424575806},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.48195335268974304},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.39044293761253357},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36585885286331177},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.26836562156677246},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.221096009016037},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2136324644088745},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.15646493434906006},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1053655743598938},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09327805042266846},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","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:10.1145/2350046.2350104","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2350046.2350104","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 10th asia pacific conference on Computer human interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4300000071525574,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320320912","display_name":"Ministry of Education, Culture, Sports, Science and Technology","ror":"https://ror.org/048rj2z13"},{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W26087330","https://openalex.org/W186728073","https://openalex.org/W1501045749","https://openalex.org/W1730713593","https://openalex.org/W1973378890","https://openalex.org/W2006590470","https://openalex.org/W2019548241","https://openalex.org/W2067169334","https://openalex.org/W2073741613","https://openalex.org/W2108041418","https://openalex.org/W2111926505","https://openalex.org/W2149628368","https://openalex.org/W2153190547","https://openalex.org/W2595833849","https://openalex.org/W3216401400","https://openalex.org/W4248634141"],"related_works":["https://openalex.org/W2228992124","https://openalex.org/W2613954729","https://openalex.org/W3130118443","https://openalex.org/W1955947659","https://openalex.org/W2759378137","https://openalex.org/W2376974064","https://openalex.org/W3188579947","https://openalex.org/W4289529495","https://openalex.org/W4386695291","https://openalex.org/W2355699586"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,22,38,81],"discuss":[4],"the":[5,9,24,40,47,50,53,69,88,92,96,103],"feasibility":[6,104],"of":[7,12,26,28,95],"estimating":[8],"activation":[10,35,70,107],"level":[11,108],"a":[13],"conversation":[14],"by":[15],"using":[16,91],"phonetic":[17,41],"and":[18,42,45,52,64,72,86],"turn-taking":[19,43],"features.":[20],"First,":[21],"recorded":[23],"voices":[25],"conversations":[27],"six":[29,97],"three-person":[30,98],"groups":[31],"at":[32,109],"three":[33],"different":[34],"levels.":[36],"Then,":[37,80],"calculated":[39],"features,":[44],"analyzed":[46,93],"correlation":[48],"between":[49],"features":[51],"activity":[54],"level.":[55],"The":[56,100],"analysis":[57],"revealed":[58],"that":[59],"response":[60],"latency,":[61],"overlap":[62],"rate,":[63],"speech":[65],"rate":[66],"correlate":[67],"with":[68],"levels":[71],"they":[73],"are":[74],"less":[75],"sensitive":[76],"to":[77,105],"individual":[78],"deviation.":[79],"formulated":[82],"multiple":[83],"regression":[84],"equations,":[85],"examined":[87],"estimation":[89],"accuracy":[90],"data":[94],"groups.":[99],"results":[101],"demonstrated":[102],"estimate":[106],"approximately":[110],"18%":[111],"root-mean-square":[112],"error":[113],"(RMSE).":[114]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}