Host: The Japanese Society for Artificial Intelligence
Name : The 105th SIG-SLUD
Number : 105
Location : [in Japanese]
Date : November 10, 2025 - November 11, 2025
Pages 01-06
This study aims to construct a listening dialogue system that provides users with higher satisfaction by focusing on active listening skills and the context of the conversation. Our proposed system generates five types of responses (repeated responses, interjections, summarizing responses, follow-up questions, and empathetic responses) based on active listening skills. Furthermore, by utilizing dialogue history for follow-up questions and empathetic responses, it generates contextually appropriate responses. As a result of evaluation experiment having subjects use the proposed system, we confirmed improvements in the system's listening quality of attentiveness, comprehension of the conversation, the user's satisfaction with the dialogue, and willingness to continue using it.