Agreebot introduction dialogue in human–robot interaction: improving the acceptability of robot statements on incapable robotic experiences
Seiya Mitsuno, Yuichiro Yoshikawa, Midori Ban, Hiroshi Ishiguro
- Year
- 2024
- Citations
- 8
- Access
- Open access
Abstract
Dialogue robots have gained widespread use in various domains. However, their ability to engage in conversations about actions that robots cannot perform, such as eating and traveling, remains a challenge. This study proposes a dialogue strategy called Agreebot Introduction Dialogue to enhance the acceptability of robot statements related to actions that robots are incapable of performing. This strategy involved referring to the presence of another robot with the same opinion. We examined our proposed method by conducting a dialogue experiment with 43 participants. The results indicated that the proposed dialogue strategy increased the acceptance of the robot's statements regarding food topics and improved user engagement behavior. This suggests that our strategy enables dialogue robots to participate effectively in diverse scenarios, including conversations on certain topics that are typically challenging for robots.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991