# An Integrative Introduction to Human Augmentation Science

arXiv: https://arxiv.org/abs/1804.10521 · HTML: https://mlsanity.com/paper/1804.10521/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Apr 2018.

## Built on by (most cited first, 1 of 1)

- [15 Years of Augmented Human(s) Research: Where Do We Stand?](https://mlsanity.com/paper/2604.03715/) (2026)

## Abstract (arXiv)

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.