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Wearable Sensor Technologies for Monitoring Cognitive Load in Inclusive Human-Robot Collaborative Manufacturing.
Rel. Alessandro Simeone, Paolo Claudio Priarone. Politecnico di Torino, Master of science program in Biomedical Engineering, 2024
Abstract
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
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