研究チームは、1)ロボット・エージェントを用いた教育やコミュニーション研究班、2)画像処理による感情推定技術研究班、3) 大規模logデータのデータマイニング技術の研究班、4)ヒューマンインターフェイスを活用した教育やコミュニーション研究班から構成されている。各研究班は、個別に研究を進めながら、半年に1回、各班の進捗を報告し、全体メンバーで、研究内容、進め方などをディスカッションしている。

最終成果の論文が発刊されました：

Suga Harumi, Fujishima Daiki, Ishii Yuuya, Ogai Yuta, Nagae Takanori, Katagami Daisuke, Uchida Takayuki, Uratani Noriyoshi, Sone Junji
Study of natural language communication with avatar in virtual space
International Journal of Intelligent Robotics and Applications, 2024/12/25
Abstruct  - Artificial reality, stemming from telexistence, is evolving into the virtual spaces, emphasizing user interaction across language, multimodal, multitask, and embedded interactions, as well as highly accurate virtual reality (VR) environments and applications. Furthermore, human?agent interaction via avatars requires knowledge implementation. Recently, it has become possible to utilize large-scale language models, and development is advancing. In this study, we implemented sentence-transformers by optimizing parameters and performing instructional learning to respond accordingly to specific keywords, enhancing the quality of natural language conversation. A virtual space in conjunction with the precision computer graphics (CG) of our university's color research center was constructed, and verified its effectiveness through experiential experiments. From this experiment, it was found that the accuracy of the voice recognition was inadequate and the reliability of the avatar was rated low. Therefore, improvements need to be made to enhance the accuracy of the voice recognition. We would also like to increase the number of training languages in order to facilitate smoother conversations.
SN-2366-598X　https://doi.org/10.1007/s41315-024-00408-0
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