Automation and User Monitoring
Increasing digitalisation creates significant opportunities for the development of safer and more efficient work environments, as well as challenging our understanding of the role of the human in advanced technological systems. Future technology users are less likely to be involved in executing system functions; rather, the role of the human will include goal setting and monitoring, system integrity monitoring, maintenance management, and direct intervention during rare and unexpected events. Advances in machine learning enable the autonomous system to understand the cognitive, behavioural, physiological and emotional state of the user. However, the artificial intelligence behind many of these systems is often considered as a “black box” that is not understood by the users, or regulators, of advanced systems. This can result in a lack of awareness of what the system is doing, or why, and can even affect how much users trust the autonomous system.
The Automation and User Monitoring Department works in three areas:
(1) human-automation interaction in complex operating environments
(2) human collaboration with future technologies
(3) intelligent user monitoring systems.
Our department takes a multi-disciplinary approach by applying our competences in machine learning, human-automation interaction, cognitive science, experimental psychology, usability assessment and human factors. Our project portfolio extends across a range of industries, including aviation, nuclear and petroleum.