{"id":"https://openalex.org/W3093818178","doi":"https://doi.org/10.1109/ccs49175.2020.9231508","title":"Development of Method for Detecting Conversation Breakdown Using Behavioral Information","display_name":"Development of Method for Detecting Conversation Breakdown Using Behavioral Information","publication_year":2020,"publication_date":"2020-09-23","ids":{"openalex":"https://openalex.org/W3093818178","doi":"https://doi.org/10.1109/ccs49175.2020.9231508","mag":"3093818178"},"language":"en","primary_location":{"id":"doi:10.1109/ccs49175.2020.9231508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccs49175.2020.9231508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Community-centric Systems (CcS)","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/A5076731985","display_name":"Ayaka Kawamoto","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Ayaka Kawamoto","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102438067","display_name":"Kazuyoshi Wada","orcid":"https://orcid.org/0000-0003-3790-7880"},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kazuyoshi Wada","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050841922","display_name":"Naho Saito","orcid":null},"institutions":[{"id":"https://openalex.org/I69740276","display_name":"Tokyo Metropolitan University","ror":"https://ror.org/00ws30h19","country_code":"JP","type":"education","lineage":["https://openalex.org/I69740276"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Naho Saito","raw_affiliation_strings":["Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"Graduate School of System Design, Tokyo Metropolitan University, Tokyo, Japan","institution_ids":["https://openalex.org/I69740276"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076731985"],"corresponding_institution_ids":["https://openalex.org/I69740276"],"apc_list":null,"apc_paid":null,"fwci":0.431,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.69406492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.9983000159263611,"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/T10709","display_name":"Social Robot Interaction and HRI","score":0.9983000159263611,"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/T13382","display_name":"Robotics and Automated Systems","score":0.9973000288009644,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9944000244140625,"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/conversation","display_name":"Conversation","score":0.9852908849716187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5164844989776611},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.4789431691169739},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.46233269572257996},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.20680689811706543},{"id":"https://openalex.org/keywords/communication","display_name":"Communication","score":0.15915820002555847},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15742149949073792},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.11937493085861206},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08438009023666382}],"concepts":[{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.9852908849716187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5164844989776611},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.4789431691169739},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.46233269572257996},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.20680689811706543},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","level":1,"score":0.15915820002555847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15742149949073792},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.11937493085861206},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08438009023666382},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ccs49175.2020.9231508","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccs49175.2020.9231508","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Symposium on Community-centric Systems (CcS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W10957333","https://openalex.org/W948356733","https://openalex.org/W1991797265","https://openalex.org/W2002024051","https://openalex.org/W2124701780","https://openalex.org/W2201722321","https://openalex.org/W2324260108","https://openalex.org/W2593861468","https://openalex.org/W2654265299","https://openalex.org/W2888883502","https://openalex.org/W2943417974","https://openalex.org/W3134900088","https://openalex.org/W4253677509","https://openalex.org/W6600426076","https://openalex.org/W6678640842","https://openalex.org/W6734508445","https://openalex.org/W6791656471"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W1968552888","https://openalex.org/W2374116601","https://openalex.org/W3093134843","https://openalex.org/W2772323916","https://openalex.org/W1511346092","https://openalex.org/W1527532029","https://openalex.org/W2378167147","https://openalex.org/W3210777354"],"abstract_inverted_index":{"Existing":[0],"conversation":[1,19,29,48,67,69,90,97,111,118],"systems":[2],"have":[3],"difficulty":[4],"in":[5,43],"communicating":[6],"smoothly.":[7],"One":[8],"of":[9,54,57,83,109,116],"the":[10,14,18,60,75,81,84,100,106,113,117],"reasons":[11],"is":[12],"that":[13],"robot":[15],"cannot":[16],"recognize":[17],"breakdown.":[20,70,119],"To":[21],"solve":[22],"this":[23,73],"problem,":[24],"we":[25],"attempt":[26],"to":[27,36,95],"detect":[28],"breakdown":[30,49,91,98],"using":[31],"human":[32],"motion":[33],"characteristics.":[34],"According":[35],"our":[37],"preliminary":[38],"research,":[39],"features":[40],"were":[41],"found":[42],"head":[44],"Yaw":[45],"movement":[46],"when":[47,99],"occurred.":[50],"As":[51],"a":[52,103],"result":[53],"FFT":[55],"analysis":[56],"yaw":[58],"data,":[59],"low-frequency":[61],"power":[62],"was":[63,87,93],"different":[64],"between":[65,105],"normal":[66,110],"and":[68,112],"Based":[71],"on":[72],"finding,":[74],"energy":[76,107,114],"rate,":[77],"which":[78],"relatively":[79],"expresses":[80],"magnitude":[82],"frequency":[85],"power,":[86],"defined.":[88],"The":[89],"detector":[92],"developed":[94],"estimate":[96],"z-test":[101],"shows":[102],"difference":[104],"rate":[108,115]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
