# Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy

arXiv: https://arxiv.org/abs/1810.01835 · HTML: https://mlsanity.com/paper/1810.01835/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Oct 2018.

## Built on by (most cited first, 7 of 7)

- [The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems](https://mlsanity.com/paper/2105.04408/) (2021)
- [Human-AI Shared Control via Policy Dissection](https://mlsanity.com/paper/2206.00152/) (2022)
- [Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning](https://mlsanity.com/paper/2306.03849/) (2023)
- [User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction](https://mlsanity.com/paper/2111.04880/) (2021)
- [Taxonomy of A Decision Support System for Adaptive Experimental Design in Field Robotics](https://mlsanity.com/paper/2210.08397/) (2022)
- [Federated Learning for Drowsiness Detection in Connected Vehicles](https://mlsanity.com/paper/2405.03311/) (2024)
- [Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarios](https://mlsanity.com/paper/2410.03774/) (2024)

## Abstract (arXiv)

Building effective, enjoyable, and safe autonomous vehicles is a lot harder than has historically been considered. The reason is that, simply put, an autonomous vehicle must interact with human beings. This interaction is not a robotics problem nor a machine learning problem nor a psychology problem nor an economics problem nor a policy problem. It is all of these problems put into one. It challenges our assumptions about the limitations of human beings at their worst and the capabilities of artificial intelligence systems at their best. This work proposes a set of principles for designing and building autonomous vehicles in a human-centered way that does not run away from the complexity of human nature but instead embraces it. We describe our development of the Human-Centered Autonomous Vehicle (HCAV) as an illustrative case study of implementing these principles in practice.