Cloud-based user modeling for social robots: a first attempt

TL;DR

This paper introduces a cloud-based architecture for user modeling in social robots, aiming to enhance robot-user interactions by adapting robot behavior based on user data, facilitating reuse across various social robot platforms.

Contribution

It presents the first attempt to integrate cloud-based user modeling features into social and affective robots for improved interaction adaptability.

Findings

Proposed a scalable cloud architecture for user modeling.

Demonstrated potential for cross-robot application of the approach.

Enhanced social robot interaction capabilities.

Abstract

A social robot is an autonomous robot that interact with people by engaging in social emotive behaviors, skills, capacities, and rules attached to its collaborative role. In order to achieve these goals we believe that modeling the interaction with the user and adapt the robot behavior to the user herself are fundamental for its social role. 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 reuse the approach with different kind of social robots.