Wearable Sensor Technologies for Monitoring Cognitive Load in Inclusive Human-Robot Collaborative Manufacturing

In modern workplaces, managing cognitive load is becoming increasingly important, particularly in the context of promoting inclusivity for employees with neurological differences. This dissertation, conducted at Loughborough University, UK, focuses on understanding cognitive load in work environments as a critical factor in improving workplace efficiency and, in turn, employee well-being. With an increasing focus on inclusivity in diverse work environments, it is important to examine how different cognitive challenges affect employees. High cognitive load can affect productivity, work quality and overall well-being, making the implementation of effective management strategies essential. This study addresses a significant gap in the existing literature by investigating the cognitive load experienced by individuals with neurological disorders, specifically simulated dyslexia. The aim is to identify and implement interventions to reduce stress and increase work inclusion. Several tools were used to conduct the experiments, including a heart rate sensor, an electrocardiogram sensor, an electrodermal activity sensor and an eye tracker to measure cognitive load. Participants performed two assembly tasks under different conditions: one group received on-screen instructions in a standard font, simulating a neurotypical condition, while the other group received instructions specifically designed to simulate dyslexia. In addition, some experiments involved working with a robot to simulate human-robot interaction; others involved working with another person to test human-human interaction. The analysis of the data collected from the participants involves the use of fuzzy logic in the processing of physiological measurements, eye tracking output, environmental parameters of the production facility and production aspects. The results of this research may enable the development of strategies to improve workplace inclusivity and reduce mental fatigue, particularly for workers with cognitive differences.