ABSTRACT
This chapter examines the general aim of neuroadaptive systems, which are complex adaptive systems consisting of multiple interconnected elements (i.e., human user, computational system, neurophysiological monitoring equipment). These systems aim to use realtime knowledge of human performance and brain function to augment system interactions for more efficient and effective operation. Such augmentation should expand or increase the capability of the human operator. Throughout this book, you will read of efforts focused on augmenting human performance in terms of cognitive processes (Chapter 1), executive control and learning (Chapter 2), adaptive behaviors (Chapter 3), object perception (Chapter 4), and visual performance (Chapter 5), as well as overcoming human limitations, such as maladaptive behaviors (Chapter 3) and human error (Chapter 6). Thus, there are multiple human functions that can be augmented to enhance the symbiosis between human and machine. But what does it mean to augment human performance and which aspects of performance should one aim to augment?
