Improving the closing sequences of interaction between human and robot through conversation analysis.

ABSTRACT: This study employs Conversation Analysis to create a recursive model that improves the quality of human-robot interaction. Our research goal is to create a dialogue robot that offers pleasant experiences for users, so they are willing to engage in repeated interactions in daily lives. While there has been dramatic progress in the performance of dialogue robots, there has been less attention to the importance of users' interactional experience compared to the "specs" of the dialogue system. Employing Goffmanian insights and using research in Conversation Analysis (CA), the present study develops a dialogue closing system to exit the interaction. We then experimentally verified that the robot with the dialogue closing system performs better in the user's perception of the robot (i.e. likeabi

SUBMITTER: Uchida T 

PROVIDER: S-EPMC11604783 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature