By Topic

Controlling a Tactile ERP–BCI in a Dual Task

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Thurlings, M.E. ; Netherlands Organ. for Appl. Sci. Res. (TNO), Soesterberg, Netherlands ; Van Erp, J.B.F. ; Brouwer, A.-M. ; Werkhoven, P.

When using brain-computer interfaces (BCIs) to control a game, the BCI may have to compete with gaming tasks for the same perceptual and cognitive resources. We investigated: 1) if and to what extent event-related potentials (ERPs) and ERP-BCI performance are affected in a dual-task situation; and 2) if these effects are an area function of the level of difficulty of a concurrent task. Ten participants performed an ERP-BCI task that involved attending to a target location in sequences of tactile stimuli. The ERP-BCI task was performed either in isolation or secondary to a visual n-back task with two levels of difficulty. We observed: 1) a decreased P300 and BCI bit rate, and an increased level of subjective mental effort for both dual-task conditions compared to the BCI-only condition; the decreased classification accuracies were still well above chance, but arguably too low for effective BCI control; and 2) we did not find an effect of task difficulty on the P300, bit rates, and subjective mental effort. We discuss reallocation of attention caused by a concurrent task, but unaffected by task difficulty, and the role of task priority. Concluding, control of a tactile ERP-BCI in a dual-task situation is feasible, but performance is degraded.

Published in:

Computational Intelligence and AI in Games, IEEE Transactions on  (Volume:5 ,  Issue: 2 )