AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning
AVIN-Chat: An Audio-Visual Interactive Chatbot System with Emotional State Tuning
Chanhyuk Park, Jungbin Cho, Junwan Kim, Seongmin Lee, Jungsu Kim, Sanghoon Lee
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence
Demo Track. Pages 8763-8766.
https://doi.org/10.24963/ijcai.2024/1027
This work presents an audio-visual interactive chatbot (AVIN-Chat) system that allows users to have face-to-face conversations with 3D avatars in real-time. Compared to the previous chatbot services, which provide text-only or speech-only communications, the proposed AVIN-Chat can offer audio-visual communications providing users with a superior experience quality. In addition, the proposed AVIN-Chat emotionally speaks and expresses according to the user's emotional state. Thus, it enables users to establish a strong bond with the chatbot system, increasing the user's immersion. Through user subjective tests, it is demonstrated that the proposed system provides users with a higher sense of immersion than previous chatbot systems. The demonstration video is available at https://www.youtube.com/watch?v=Z74uIV9k7_k.
Keywords:
Computer Vision: CV: Applications
Natural Language Processing: NLP: Applications