Section: New Results
A Performance Model of Selection Techniques for P300-Based Brain-Computer Interfaces
Participant : Géry Casiez.
In this work, we propose a model to predict the performance of selection techniques using Brain-Computer Interfaces based on P300 signals. This model is based on Markov theory and can compute both the time required to select a target and the number of visual ?ashes needed. We illustrate how to use this model with three different interaction techniques to select a target. A first experimental evaluation with three healthy participants shows a good match between the model and the experimental data.
This work has been carried out with Jean-Baptiste Sauvan, Anatole Lécuyer and Fabien Lotte from the INRIA Bunraku project at the University of Rennes I and the results were published at CHI 2009  .