User modeling for social and affective robots

TL;DR

This paper introduces a cloud-based user modeling architecture designed for social and affective robots, enabling adaptable interaction modeling across various robot platforms.

Contribution

It presents a novel, reusable cloud-based framework for user modeling in social robots, facilitating cross-platform applicability.

Findings

Proposed architecture supports diverse social robots

Enables improved personalization in robot interactions

Lays groundwork for future adaptive social robot systems

Abstract

This paper presents our first attempt to integrate user modeling features in social and affective robots. We propose a cloud-based architecture for modeling the user-robot interaction in order to re-use the approach with different kind of social robots.