User-Friendly Smart Recommendation Based on Multi-Robot Communication

Abstract

In order to provide user-friendly recommendations, it is necessary to understand the user’s intentions and circumstances, and it is also essential to empathize based on non-verbal communication. In this paper, we develop a system that estimates the current state and ideals of users in health promotion and provides information support while empathizing. The purpose of the system is to provide information support according to the estimation of the user’s intentions and circumstances by introducing the following systems: a dialogue system with sympathy elements by multi-robot communication, and a reliability estimation system with user reactions as input. Furthermore, in order to verify the effectiveness of the proposed method, we show comparative experimental examples between the proposed method and the conventional method.