ABSTRACT
Psychophysiological monitoring has been demonstrated to be a highly effective means of controlling task allocation and system adaptation in an adaptive aiding paradigm. However, work to date has often used laboratory tasks or simulations wherein the adaptation would be difficult or impossible to apply in a real-world setting. This project sought to advance the application of the adaptive aiding paradigm by using a more realistic multi-UAS control simulation with physiologically activated partial automation and priority cuing. In order to establish the efficacy of the adaptive system, physiological activation was directly compared with manual activation or no activation of the samc automation and cuing systems. In the first data collection session, manual activation resulted in slightly better performance than either no activation or physiological activation. However, performance in the physiological activation condition improvcd over sessions, and by the third session tbis condition produced the highest performance. Despite the appeal of physiological activation for more closely matching operator needs, the interaction between operator and aiding system under this approach is complex and requires adaptation or learning on the part of the operator as well as the system to achieve maximum effectiveness .
