Host: The Japanese Society for Artificial Intelligence
Name : The 36th Annual Conference of the Japanese Society for Artificial Intelligence
Number : 36
Location : [in Japanese]
Date : June 14, 2022 - June 17, 2022
Entrainment is a phenomenon observed in human-human conversation, which is a synchronization of speaking style according to dialogue progress. In this study, we propose a method to build an entrainable chitchat system by predicting the ideal entrainment score for the given dialogue history. The proposed method reranks existing neural conversation model outputs based on the predicted entrainment score. We conducted automatic and human-subjective evaluations to investigate the effect of the proposed method by comparing it with the system response without using the reranking system. The experimental results showed that our proposed method achieves ideal entrainment while maintaining the naturalness of the generated responses compared to the baseline method.