{"id":"https://openalex.org/W7168404697","doi":"https://doi.org/10.48550/arxiv.2607.12329","title":"Real-time Generation of Listener Nodding via Prediction of Kinematic Parameters for Avatar Dialogue Systems","display_name":"Real-time Generation of Listener Nodding via Prediction of Kinematic Parameters for Avatar Dialogue Systems","publication_year":2026,"publication_date":"2026-07-14","ids":{"openalex":"https://openalex.org/W7168404697","doi":"https://doi.org/10.48550/arxiv.2607.12329"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2607.12329","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12329","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2607.12329","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5140844890","display_name":"Kazushi Kato","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kato, Kazushi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140901033","display_name":"Koji Inoue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Inoue, Koji","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140892388","display_name":"Taiga Mori","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mori, Taiga","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140951533","display_name":"Divesh Lala","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lala, Divesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5140953099","display_name":"Tatsuya Kawahara","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kawahara, Tatsuya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10709","display_name":"Social Robot Interaction and HRI","score":0.3596000075340271,"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":0.3596000075340271,"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/T12031","display_name":"Speech and dialogue systems","score":0.2101999968290329,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.11100000143051147,"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/kinematics","display_name":"Kinematics","score":0.8320000171661377},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5834000110626221},{"id":"https://openalex.org/keywords/avatar","display_name":"Avatar","score":0.4359999895095825},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.39980000257492065},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.37619999051094055},{"id":"https://openalex.org/keywords/active-listening","display_name":"Active listening","score":0.33149999380111694},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.3249000012874603}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8320000171661377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297999858856201},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5834000110626221},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5199000239372253},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.47749999165534973},{"id":"https://openalex.org/C2777365542","wikidata":"https://www.wikidata.org/wiki/Q83090","display_name":"Avatar","level":2,"score":0.4359999895095825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42829999327659607},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.39980000257492065},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.37619999051094055},{"id":"https://openalex.org/C177291462","wikidata":"https://www.wikidata.org/wiki/Q423038","display_name":"Active listening","level":2,"score":0.33149999380111694},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.3249000012874603},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.3086000084877014},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.304500013589859},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.287200003862381},{"id":"https://openalex.org/C56461940","wikidata":"https://www.wikidata.org/wiki/Q970687","display_name":"Eye tracking","level":2,"score":0.2784999907016754},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2653999924659729},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25679999589920044},{"id":"https://openalex.org/C23224414","wikidata":"https://www.wikidata.org/wiki/Q176769","display_name":"Hidden Markov model","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.2533000111579895},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.25029999017715454}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2607.12329","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12329","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2607.12329","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2607.12329","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"human":[1],"dialogue,":[2],"we":[3,139],"achieve":[4],"smooth":[5],"communication":[6],"by":[7],"expressing":[8],"nonverbal":[9],"cues":[10,31],"such":[11],"as":[12],"eye":[13],"contact,":[14],"nodding,":[15,43],"and":[16,36,51,64,86,101,162,167,193,200],"facial":[17],"expressions":[18],"with":[19,190,195],"precise":[20],"timing.":[21,137],"It":[22],"is":[23,45,160],"expected":[24],"for":[25,47],"conversational":[26],"avatars":[27],"to":[28,33],"express":[29],"these":[30],"appropriately":[32],"realize":[34],"natural":[35],"human-like":[37],"interactions.":[38],"This":[39],"study":[40],"focuses":[41],"on":[42,105,125],"which":[44],"crucial":[46],"demonstrating":[48],"active":[49],"listening":[50],"encouraging":[52],"further":[53],"user":[54],"utterances.":[55],"We":[56],"propose":[57],"a":[58,82,87,94,188],"model":[59,79,159],"that":[60,181],"predicts":[61],"both":[62,187],"timing":[63,83,154,192],"kinematic":[65,88,122,146],"parameters":[66,123],"representing":[67],"the":[68,99,106,126,130,136,141,145,152],"motion":[69],"features":[70],"of":[71,81,108,121,129,143,164],"listener":[72,102],"nodding":[73],"in":[74],"real":[75],"time.":[76],"The":[77,157,198],"proposed":[78,158,183],"consists":[80],"prediction":[84,90,120,148,155],"module":[85,149],"parameter":[89,147],"module.":[91,156],"Each":[92],"implements":[93],"dyadic":[95],"attention":[96],"network":[97],"over":[98],"speaker":[100],"channels":[103],"based":[104,124],"technique":[107],"Voice":[109],"Activity":[110],"Projection":[111],"(VAP).":[112],"Unlike":[113],"conventional":[114],"models,":[115],"this":[116],"approach":[117],"enables":[118],"real-time":[119,165],"specific":[127],"context":[128],"dialogue":[131,175],"rather":[132],"than":[133],"just":[134],"predicting":[135],"Furthermore,":[138],"demonstrate":[140],"effectiveness":[142],"fine-tuning":[144],"initialized":[150],"from":[151],"trained":[153,201],"lightweight":[161],"capable":[163],"operation,":[166],"it":[168],"has":[169],"been":[170],"integrated":[171],"into":[172],"an":[173],"avatar":[174],"system.":[176],"Subjective":[177],"evaluation":[178],"experiments":[179],"shows":[180],"our":[182],"method":[184],"significantly":[185],"outperforms":[186],"baseline":[189],"stochastic":[191],"another":[194],"fixed-motion":[196],"nodding.":[197],"code":[199],"models":[202],"are":[203],"available":[204],"at":[205],"https://github.com/MaAI-Kyoto/MaAI.":[206]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-07-16T00:00:00"}