All Outputs (2)

Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks (2019)
Conference Proceeding
Benerradi, J., Maior, H. A., Marinescu, A., Clos, J., & Wilson, M. L. (2019). Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks. In Proceedings of the Halfway to the Future Symposium 2019. https://doi.org/10.1145/3363384.3363392

Functional Near-Infrared Spectroscopy (fNIRS) has shown promise for being potentially more suitable (than e.g. EEG) for brain-based Human Computer Interaction (HCI). While some machine learning approaches have been used in prior HCI work, this paper... Read More about Exploring Machine Learning Approaches for Classifying Mental Workload using fNIRS Data from HCI Tasks.

How Stress and Mental Workload are Connected (2019)
Conference Proceeding
Alsuraykh, N. H., Wilson, M. L., Tennent, P., & Sharples, S. (2019). How Stress and Mental Workload are Connected. In PervasiveHealth'19: Proceedings of the 13th EAI International Conference on Pervasive Computing Technologies for Healthcare (371-376). https://doi.org/10.1145/3329189.3329235

Mental Workload (MWL) can be both good and bad; we can thrive under high MWL, or our performance can drop if the demands become either too low or too high. Similarly, stress is not always bad, short term stress can be beneficial to overcome a challen... Read More about How Stress and Mental Workload are Connected.