Multi-robot cooperative behavior for reducing unnaturalness of starting a conversation
Takamasa Iio, Yuichiro Yoshikawa, Hiroshi Ishiguro
- Year
- 2023
- Citations
- 2
- Access
- Open access
Abstract
In a human-robot conversation, it is difficult for the robot to start the conversation just when the addressee is ready to listen to the robot, due to recognition technology issues.This paper proposes and evaluates a method to reduce the sense of that the timing of starting the conversation is bad.In this method, two robots perform a cooperative behavior during a waiting time from the call for attracting addressee's attention to the main utterance the robot want to deliver.To evaluate the effectiveness of this method, we conducted an experiment that compared three conversation initiation approaches: early timing and late timing by one robot, and the proposed approach involving two robots.The results revealed that the proposed method mitigates the bad timing of main utterances as perceived by the participants.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002