An Integrative Introduction to Human Augmentation Science

TL;DR

This paper provides an overview of Human Augmentation science, discussing its interdisciplinary nature, key concepts, and experimental methods for implementing augmentation strategies across cognitive and physical domains.

Contribution

It introduces three experimental techniques for human augmentation and reviews integrative approaches that transcend specific functions, advancing understanding in the field.

Findings

Three techniques for HA implementation: learning augmentation, physical media, extended phenotype modeling

Highlights the importance of biological plasticity and adaptive systems in HA

Reviews integrative approaches that combine multiple augmentation strategies

Abstract

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.