国際会議論文

  1. Jie Zeng, Tatsuya Sakato, and Yukiko I. Nakano. Semantic Content Prediction for Generating Interviewing Dialogues to Elicit Users’ Food Preferences. In Proceedings of the Second Workshop on When Creative AI Meets Conversational AI, in the 29th International Conference on Computational Linguistics (COLING2022), pp. 45-58, 2022.10.
  2. Yukiko I. Nakano, Eri Hirose, Tatsuya Sakato, Shogo Okada, and Jean-Claude Martin. 2022. Detecting Change Talk in Motivational Interviewing using Verbal and Facial Information. In Proceedings of the 2022 International Conference on Multimodal Interaction (ICMI ’22). Association for Computing Machinery, New York, NY, USA, 5–14. https://doi.org/10.1145/3536221.3556607 [Best Paper Award Runner-up]
  3. Nihei, F., Ishii, R., Nakano, Y., Nishida, K., Masumura, R., Fukayama, A., Nakamura, T. (2022) Dialogue Acts Aided Important Utterance Detection Based on Multiparty and Multimodal Information. Proc. Interspeech 2022, 1086-1090, doi: 10.21437/Interspeech.2022-324
  4. Atsushi Ito, Yukiko I. Nakano, Fumio Nihei, Tatsuya Sakato, Ryo Ishii, Atsushi Fukayama, and Takao Nakamura. 2022. Predicting Persuasiveness of Participants in Multiparty Conversations. In 27th International Conference on Intelligent User Interfaces (IUI ’22 Companion). Association for Computing Machinery, New York, NY, USA, 85–88. DOI:https://doi.org/10.1145/3490100.3516466

国内口頭発表

  1. 坂戸達陽,ZENG Jie,中野有紀子.ガウス混合モデルを用いたHuman-Agent Interactionにおけるユーザの表情分析,第21回情報科学技術フォーラム講演論文集  (FIT),pp 423-426,2022.8.30.
  2. 伊藤温志,坂戸達陽,中野有紀子,二瓶芙巳雄,石井亮,深山篤,中村高雄.グループディスカッションにおける説得力の推定のためのマルチパーティモデル,2022年度人工知能学会全国大会(第36回)3H3-OS-12a-02, 2022/6/14.