Advancements in Cognitive Ergonomics: Integration with Human-Robot Collaboration, Workload Management, and Industrial Applications

Abstract

Cognitive ergonomics is increasingly essential in modern industries, particularly in human-robot collaboration (HRC), where it addresses mental workload, decision-making, and overall worker well-being. As industrial systems transition into Industry 4.0 and Industry 5.0, the integration of robotics and artificial intelligence (AI) into human-centered processes necessitates the management of cognitive load. Cognitive ergonomics enhances workplace efficiency by optimizing human-system interactions, reducing mental strain, and improving task performance in complex environments. By focusing on real-time workload management, including the use of biosensors and eye-tracking technologies, industries can monitor cognitive strain, allowing for immediate task adjustments to maintain productivity and safety. Cognitive ergonomics also plays a pivotal role in enhancing human factors in HRC by aligning machine design with human mental capabilities. Effective human-machine interfaces (HMIs) based on cognitive ergonomic principles improve decision-making, reduce errors, and enhance user satisfaction. As industries continue to adopt advanced robotics, the mental demands on workers increase, making cognitive ergonomics crucial for mitigating risks associated with cognitive overload. Future trends point toward the integration of cognitive ergonomics with emerging technologies like AI, wearable devices, and virtual reality (VR), offering new avenues for workload management and decision support. These advancements aim to balance the cognitive demands on workers, ensuring that systems are designed to enhance performance without causing mental fatigue or stress. Overall, cognitive ergonomics remains a vital component in ensuring the well-being and efficiency of workers in technologically advanced industrial environments.