Dynamic difficulty using brain metrics of workload.

Chang, Remco.

Afergan, Daniel.

Peck, Evan M.

Solovey, Erin T.

Jenkins, Andrew M.

Hincks, Samuel W.

Brown, Eli T.

Jacob, Robert J. K.


  • Dynamic difficulty adjustments can be used in human-computer systems in order to improve user engagement and performance. In this paper, we use functional near-infrared spectroscopy (fNIRS) to obtain passive brain sensing data and detect extended periods of boredom or overload. From these physiological signals, we can adapt a simulation in order to optimize workload in real-time, which allows the ... read more
This object is in collection Subject Permanent URL Citation
  • Afergan, Daniel, Evan M. Peck, Erin T. Solovey, Andrew Jenkins, Samuel W. Hincks, Eli T. Brown, Remco Chang, and Robert J.K. Jacob. "Dynamic Difficulty Using Brain Metrics of Workload." Proceedings of the 32nd Annual ACM Conference on Human Factors in Computing Systems - CHI '14 (2014). doi:10.1145/2556288.2557230.
To Cite:
DCA Citation Guide    EndNote
Detailed Rights