Using fNIRS for Real-Time Cognitive Workload Assessment.Hincks, Samuel W.
Jacob, Robert J. K.
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 therefor... read more
- Machine learning.
- Computer science.
- Tufts University. Department of Computer Science.
- Permanent URL
- Original publication
- 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.