Estimating Communication Skills based on Multimodal Information in Group Discussions

Author:

Okada Shogo1,Matsugi Yoshihiro2,Nakano Yukiko3,Hayashi Yuki4,Huang Hung-Hsuan5,Takase Yutaka3,Nitta Katsumi1

Affiliation:

1. School of Computing, Tokyo Institute of Technology

2. Department of Computational Intelligence and Systems Interdisciplinary, Graduate School of Science and Engineering, Tokyo Institute of Technology

3. Department of Computer and Information Science, Seikei University

4. College of Sustainable System Sciences, Osaka Prefecture University

5. Department of Information and Communication Science, College of Information Science and Engineering, Ritsumeikan University

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Building a Machine Learning Model to Analyze Evaluators’ Rating in Skill Assessment of Project Management Training Board Game Participants;IEEJ Transactions on Electronics, Information and Systems;2024-08-01

2. Utilizing Verbal Response Modes to Analyze and Enhance Group Discussion Dynamics: A Case Study on Speech Behavior and Conversational Trends;2024 12th International Conference on Information and Education Technology (ICIET);2024-03-18

3. 頭部運動機能特徴に基づく対話者の主観的印象の予測・説明モデルの構築;Transactions of the Japanese Society for Artificial Intelligence;2023-05-01

4. Research on Sense of Coexistence Enhancement using Mixed Reality Technology;Transactions of Japan Society of Kansei Engineering;2023

5. Task-independent Recognition of Communication Skills in Group Interaction Using Time-series Modeling;ACM Transactions on Multimedia Computing, Communications, and Applications;2021-11-30

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