International Symposium on Affective Science and Engineering
Online ISSN : 2433-5428
ISASE2018
セッションID: A1-1
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A1: Affective Robotics & Education
A Convergence of Decision-making Criterions in a Human-robot Group
- The Robot Makes a Suitable Decision-making Criterion by Interacting with the Group Members -
Yotaro FUSEHiroshi TAKENOUCHIMasataka TOKUMARU
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会議録・要旨集 フリー

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This paper presents a model to enable robots to create a suitable criterion for decision-making by indirectly interacting with people in a group. Using this model, a robot learns a suitable criterion for the group as a group member through reinforcement learning. When people, who have different personalities form a group, they adjust their criteria to a common criterion for the group. The present study investigates whether the robot can make a suitable decision-making criterion in a group by learning from interactions. Participants and the robot answer easy quizzes that have vague questions without direct conversation. Our experiments reveal that a group consisting of the participants and the robot forms a common criterion in a limited scenario. However, further study is required to reveal a robot’s social influence of human.

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© 2018 Japan Society of Kansei Engineering
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