An Integrative Introduction to Human Augmentation Science
It provides an introductory overview for researchers in fields like AI and psychology, but is incremental as it synthesizes existing knowledge without new findings.
The paper tackles the interdisciplinary field of Human Augmentation (HA) by exploring concepts, issues, and techniques for inducing and controlling cognitive states, but does not present specific results or concrete numbers.
Human Augmentation (HA) spans several technical fields and methodological approaches, including Experimental Psychology, Human-Computer Interaction, Psychophysiology, and Artificial Intelligence. Augmentation involves various strategies for optimizing and controlling cognitive states, which requires an understanding of biological plasticity, dynamic cognitive processes, and models of adaptive systems. As an instructive lesson, we will explore a few HA-related concepts and outstanding issues. Next, we focus on inducing and controlling HA using experimental methods by introducing three techniques for HA implementation: learning augmentation, augmentation using physical media, and extended phenotype modeling. To conclude, we will review integrative approaches to augmentation, which transcend specific functions.