Methodological Approach for the Evaluation of an Adaptive and Assistive Human-Machine System

TL;DR

This paper presents a validation procedure for MATE, a methodological approach that adapts human-machine systems to operator capabilities, ensuring effective interaction and training in complex industrial environments.

Contribution

It introduces an evaluation and validation framework specifically designed for the MATE adaptive human-machine system methodology.

Findings

Validated the MATE system through the proposed evaluation procedure.

Ensured the system meets operator adaptation and training requirements.

Enhanced human-machine interaction in complex industrial settings.

Abstract

With the increasing complexity of modern industrial automatic and robotic systems, an increasing burden is put on the operators, who are requested to supervise and interact with such complex systems, typically under challenging and stressful conditions. To overcome this issue, it is necessary to adopt a responsible approach based on the anthropocentric design methodology, such that machines adapt to the humans capabilities. Moving along these lines, a methodological approach called MATE was introduced in [1], which consists in devising complex automatic or robotic solutions that measure current operator's status, adapting the interaction accordingly, and providing her/him with proper training to improve the interaction and learn lacking skills and expertise. In this paper we propose an evaluation and validation procedure to guarantee the achievement of the requirements of a MATE system.