Abstract:
This paper reports a firs step toward a braincomputer interface (BCI) for collaborative targeting. Specificall , we explore, from a broad perspective, how the collaboration of a group of people can increase the performance on a simple target identificatio task. To this end, we requested a group of people to identify the location and color of a sequence of targets appearing on the screen and measured the time and accuracy of the response. The individual results are compared to a collective identificatio result determined by simple majority voting, with random choice in case of drawn. The results are promising, as the identificatio becomes significantl more reliable even with this simple voting and a small number of people (either odd or even number) involved in the decision. In addition, the paper briefl analyzes the role of brain-computer interfaces in collaborative targeting, extending the targeting task by using a BCI instead of a mechanical response.