Human mental workload is arguably the most invoked multidimensional construct in Human
Factors and Ergonomics, getting momentum also in Neuroscience and Neuroergonomics …

In human-robot collaboration (HRC), operators work side by side with collaborative robots
(cobots), a new type of machines able to function safely on tasks shared with humans …

During the dynamic driving process, classification of mental workload for drivers is a
complex task due to multiple factors, including human, vehicle, road, and the environment …

The aim of this study is to investigate the usefulness of the anomaly detection method by one-
class support vector machine (OCSVM) for the evaluation of mental workload (MWL) during …

Current telemedicine and remote healthcare applications foresee different interactions
between the doctor and the patient relying on the use of commercial and medical wearable …

Nuclear facilities have a regulatory requirement to measure radiation levels within Post
Operational Clean Out (POCO) around nuclear facilities each year, resulting in a trend …

Self-assessed driving ability may differ from actual driving performance, leading to poor
calibration (ie, differences between self-assessed driving ability and actual performance) …

Assessing drivers' mental workload is crucial for reducing road accidents. This study
examined drivers' mental workload in a simulated auditory-based dual-task driving scenario …

When operating a conditionally automated vehicle, humans occasionally have to take over
control. If the driver is out of the loop, a certain amount of time is necessary to gain situation …

Human–computer interaction cognitive behavior (HCICB) modeling faces four deficiencies:
1) lack of a standard framework model; 2) large simulation error; 3) single simulation …