Miyata Lab / 宮田研究室

Department of Information Science, College of Humanities and Sciences, Nihon University / 日本大学 文理学部 情報科学科

Nazuki

Appropriate backchannels facilitate dialogue. This is true not only for human-human dialogue, but also for human-agent dialogue. This means that an agent needs to give appropriate backchannels to have a smooth dialogue with a human. We perform multimodal analysis on human-human dialogue corpora and reveal what kind of backchannels are appropriate for the speaker’s facial expression, voice behavior, and utterance content. Using this knowledge, we aim to realize an agent that can give appropriate backchannels.

International conferences
  1. Toshiki Onishi, Naoki Azuma, Shunichi Kinoshita, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, and Akihiro Miyata: Prediction of Various Backchannel Utterances Based on Multimodal Information. Proc. the 23rd ACM International Conference on Intelligent Virtual Agents, Article No.47, pp.1–4 (IVA ’23) (2023). [Full-text available]
  2. Shunichi Kinoshita, Toshiki Onishi, Naoki Azuma, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, and Akihiro Miyata: A Study of Prediction of Listener’s Comprehension Based on Multimodal Information. Proc. the 23rd ACM International Conference on Intelligent Virtual Agents, Article No.30, pp.1–4 (IVA ’23) (2023). [Full-text available]

This project is being conducted with NTT Corp.

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