理工学部 教員紹介

Yukiko Nakano

  (中野 有紀子)

Profile Information

Affiliation
Professor, Faculty of Science and Technology Department of Science and Technology , Seikei University
Degree
博士(情報理工学)(東京大学)

J-GLOBAL ID
201101020839458565
researchmap Member ID
B000004842

External link

1990年東京大学大学院教育学研究科修士課程修了.同年,日本電信電話(株)入社.2002年 MIT Media Arts & Sciences修士課程修了.同年より JST社会技術研究開発センター専門研究員,東京農工大学大学院工学府特任准教授,成蹊大学理工学部情報科学科准教授を経て,現在,成蹊大学理工学部情報科学科教授.知的で自然なユーザインタフェースの実現に向けて,人との言語・非言語コミュニケーションが可能な会話エージェントの研究に従事.博士(情報理工学).ACM,人工知能学会,電子情報通信学会,情報処理学会各会員.

Papers

 51

Misc.

 42
  • ITO Atsushi, SAKATO Tatsuya, NAKANO Yukiko, NIHEI Fumio, ISHII Ryo, FUKAYAMA Atsushi, NAKAMURA Takao
    Proceedings of the Annual Conference of JSAI, JSAI2022 3H3OS12a02-3H3OS12a02, 2022  
    Persuasiveness is an important communication skill in communicating with others. This study aims to estimate the persuasiveness of the participants in group discussions. First, human annotators rated the level of persuasiveness of each of four participants in group discussions. Next, GRU-based neural networks were used to create speech, verbal, and visual (head pose) encoders. The output from each encoder was combined to create a multimodal and multiparty model to estimate the persuasiveness of each participant. The experiment results showed that multimodal and multiparty models are better than unimodal and single-person models. The best performing multimodal multiparty model achieved 80% accuracy in predicting high/low persuasiveness, and 77% accuracy in predicting the most persuasive participant in the group.
  • 木村清也, ZHANG Qi, HUANG Hung-Hsuan, 岡田将吾, 林佑樹, 高瀬裕, 中野有紀子, 大田直樹, 桑原和宏
    人工知能学会全国大会論文集(CD-ROM), 31st, 2017  
  • Yukiko I. Nakano, Roman Bednarik, Hung-Hsuan Huang, Kristiina Jokinen
    ACM Transactions on Interactive Intelligent Systems, 6(1), Apr 21, 2016  
    Eye gaze has been used broadly in interactive intelligent systems. The research area has grown in recent years to cover emerging topics that go beyond the traditional focus on interaction between a single user and an interactive system. This special issue presents five articles that explore new directions of gaze-based interactive intelligent systems, ranging from communication robots in dyadic and multiparty conversations to a driving simulator that uses eye gaze evidence to critique learners' behavior.
  • 二瓶芙巳雄, 中野有紀子, 林佑樹, HUANG Hung-Hsuan, 岡田将吾
    情報処理学会全国大会講演論文集, 77th(1), 2015  

Research Projects

 11