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All Outputs (4)

Physiological Indicators of Task Demand, Fatigue, and Cognition in Future Digital Manufacturing Environments (2020)
Journal Article
Argyle, E. M., Marinescu, A., Wilson, M. L., Lawson, G., & Sharples, S. (2021). Physiological Indicators of Task Demand, Fatigue, and Cognition in Future Digital Manufacturing Environments. International Journal of Human-Computer Studies, 145, https://doi.org/10.1016/j.ijhcs.2020.102522

As Digital Manufacturing transforms traditionally physical work into more system-monitoring tasks, new methods are required for understanding people's mental workload and prolonged capacity for focused attention. Many physiological measures have... Read More about Physiological Indicators of Task Demand, Fatigue, and Cognition in Future Digital Manufacturing Environments.

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.

Physiological parameter response to variation of mental workload (2017)
Journal Article
Marinescu, A., Sharples, S., Campbell Ritchie, A., Sanchez Lopez, T., McDowell, M., & Morvan, H. (in press). Physiological parameter response to variation of mental workload. Human Factors, https://doi.org/10.1177/0018720817733101

Previous studies have examined how individual physiological measures respond to changes in mental demand and subjective reports of mental workload. This study explores the response of multiple physiological parameters, measured simultaneously and qua... Read More about Physiological parameter response to variation of mental workload.