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.
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]
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
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
