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Mental workload is a design concept borrowed from Ergonomics with a significant adoption in the aviation and automobile industries. Nowadays, the consideration of this construct is also taking place in many modern clinical working environments for designing interacting and complex systems that impose ever greater cognitive demand on operators and less physical load. Measuring mental workload is essential for improving the interaction human-system, enhancing performance, reducing the operator’s error and increasing safety. However, defining, measuring, assessing mental workload and understanding how this impinges on performance are still open problems. This secondary research is firstly aimed at introducing the construct of mental workload, its foundations, measurements techniques as well as applications in medicine. It then discusses open problems for applied research and eventually, it concludes with a list of challenges for scholars and practitioners. The goal is to provide the reader with a picture of the state of the science of mental workload in medicine and clinical domains with an eye towards future research.
Longo, L. (2016). Mental Workload in Medicine: Foundations, Applications, Open Problems, Challenges and Future Perspectives. Computer-Based Medical Systems (CBMS) 29th. IEEE International Symposium, 30-24 June, 2016] doi:10.1109/CBMS.2016.36