An Architecture Supporting Configurable Autonomous Multimodal Joint-Attention-Therapy for Various Robotic Systems

Abstract

In this paper, we present a software-architecture for robot-assisted configurable and autonomous Joint-Attention-Training scenarios to support autism therapy. The focus of the work is the expandability of the architecture for the use of different robots, as well as the maximization of the usability of the interface for the therapeutic user. By evaluating the user-experience, we draw first conclusions about the usability of the system for computer and non-computer scientists. Both groups can solve different tasks without any major issues, and the overall usability of the system was rated as good.