PDF | Using fNIRS for Real-Time Cognitive Workload Assessment. | ID: qn59qg50h

Using fNIRS for Real-Time Cognitive Workload Assessment.

Hincks, Samuel W.

Afergan, Daniel.

Jacob, Robert J. K.

2016

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In this paper, we evaluate the possibility of detecting continuous changes in the user's cognitive workload using functional near-infrared spectroscopy (fNIRS) We dissect the source of meaning in a large collection of n-backs and argue that the problem of controlling the content of a participant's mind poses a major problem for calibrating an algorithm using black box machine learning. We therefore ... read more

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S. W. Hincks, D. Afergan, and R. J. K. Jacob, "Using fNIRS for Real-Time Cognitive Workload Assessment," in Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience: 10th International Conference, AC 2016, Held as Part of HCI International 2016, Toronto, ON, Canada, July 17-22, 2016, Proceedings, Part I, D. D. Schmorrow and C. M. Fidopiastis, Eds., ed Cham: Springer International Publishing, 2016, pp. 198-208. The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-319-39955-3_19.