Integration of automated neural processing into an army-relevant multitasking simulation environment

Abstract

Brain-computer interface technology has experienced a rapid evolution over recent years. Recent studies have demonstrated the feasibility of detecting the presence or absence of targets in visual imagery from the neural response alone. Classification accuracy persists even when the imagery is presented rapidly. While this capability offers significant promise for applications that require humans to process large volumes of imagery, it remains unclear how well this approach will translate to more real-world scenarios. To explore the viability of automated neural processing in an Army-relevant operational context, we designed and built a simulation environment based on a ground vehicle crewstation. Here, we describe the process of integrating and testing the automated neural processing capability within this simulation environment. Our results indicate the potential for significant benefits to be realized by incorporating brain-computer interface technology into future Army systems. © 2013 Springer-Verlag Berlin Heidelberg.