Toshiki Onishi

According to our database, Toshiki Onishi authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Detecting Praising Behavior Based on Multimodal Information in Remote Dialogue.

Toshiki Onishi, Asahi Ogushi, Shunichi Kinoshita, Ryo Ishii, Atsushi Fukayama, Akihiro Miyata

J. Inf. Process., 2025

Detecting Praising Behaviors Based on Multimodal Information.

Toshiki Onishi, Asahi Ogushi, Ryo Ishii, Akihiro Miyata

IEICE Trans. Inf. Syst., 2025

Multimodal Analysis of Listener's Active Listening Behaviors in Speed Dating Dialogues.

Asahi Ogushi, Naoki Azuma, Daichi Shikama, Ryo Ishii, Toshiki Onishi, Akihiro Miyata

Proceedings of the Companion Proceedings of the 27th International Conference on Multimodal Interaction, 2025

What Timing and Behavior Patterns Determine Speed Dating Success in Japan?

Naoki Azuma, Daichi Shikama, Asahi Ogushi, Toshiki Onishi, Ryo Ishii, Akihiro Miyata

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025

2024

Evaluation of Prosodic Features Suitable for Conversational Agents Replying with a Joke.

Kenro Go, Shunsuke Tokuda, Haruna Niiyama, Toshiki Onishi, Asahi Ogushi, Akihiro Miyata

J. Inf. Process., 2024

Prediction of Praising Skills Based on Multimodal Information.

Toshiki Onishi, Asahi Ogushi, Ryo Ishii, Atsushi Fukayama, Akihiro Miyata

Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction, 2024

Does the Number of Agents with Vagueness Affect Empathy Expression?

Haruna Niiyama, Toshiki Onishi, Kenro Go, Asahi Ogushi, Akihiro Miyata

Proceedings of the 12th International Conference on Affective Computing and Intelligent Interaction, 2024

2023

Prediction of Various Backchannel Utterances Based on Multimodal Information.

Toshiki Onishi, Naoki Azuma, Shunichi Kinoshita, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, Akihiro Miyata

Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023

A Study of Prediction of Listener's Comprehension Based on Multimodal Information.

Shunichi Kinoshita, Toshiki Onishi, Naoki Azuma, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, Akihiro Miyata

Proceedings of the 23rd ACM International Conference on Intelligent Virtual Agents, 2023

2022

Modeling Japanese Praising Behavior by Analyzing Audio and Visual Behaviors.

Toshiki Onishi, Arisa Yamauchi, Asahi Ogushi, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, Akihiro Miyata

Frontiers Comput. Sci., 2022

A Comparison of Praising Skills in Face-to-Face and Remote Dialogues.

Toshiki Onishi, Asahi Ogushi, Yohei Tahara, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, Akihiro Miyata

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

Analysis of praising skills focusing on utterance contents.

Asahi Ogushi, Toshiki Onishi, Yohei Tahara, Ryo Ishii, Atsushi Fukayama, Takao Nakamura, Akihiro Miyata

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Conversational Agents Replying with a Manzai-style Joke.

Kenro Go, Toshiki Onishi, Asahi Ogushi, Akihiro Miyata

Proceedings of the OzCHI '21: 33rd Australian Conference on Human-Computer Interaction, Melbourne, VI, Australia, 30 November 2021, 2021

2020

Analyzing Nonverbal Behaviors along with Praising.

Toshiki Onishi, Arisa Yamauchi, Ryo Ishii, Yushi Aono, Akihiro Miyata

Proceedings of the ICMI '20: International Conference on Multimodal Interaction, 2020