Fuzzy inference based mentality estimation for eye robot agent

TL;DR

This paper presents a fuzzy inference system that models an eye robot's emotional states to improve human-robot communication by conveying importance and certainty of information through expressive eye movements.

Contribution

It introduces a novel fuzzy inference-based method to represent an eye robot's mentality, enhancing communication clarity in household robots.

Findings

Effective modeling of robot eye expressions using fuzzy inference.

Improved communication of information importance and certainty.

Enhanced human-robot interaction in home environments.

Abstract

Household robots need to communicate with human beings in a friendly fashion. To achieve better understanding of displayed information, an importance and a certainty of the information should be communicated together with the main information. The proposed intent expression system aims to convey this additional information using an eye robot. The eye motions are represented as states in a pleasure-arousal space model. Change of the model state is calculated by fuzzy inference according to the importance and certainty of the displayed information. This change influences the arousal-sleep coordinate in the space which corresponds to activeness in communication. The eye robot provides a basic interface for the mascot robot system which is an easy to understand information terminal for home environments in a humatronics society.