Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy
Not on the map. Why?
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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Oct 2018.
Builds on
No reference list yet.
Built on by
Citing papers per year: 2021: 2; 2022: 2; 2023: 1; 2024: 2.
7 papers.
- 2021The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systemscited by 8
- 2022Human-AI Shared Control via Policy Dissectioncited by 4
- 2023Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warningcited by 2
- 2021User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interactioncited by 0
- 2022Taxonomy of A Decision Support System for Adaptive Experimental Design in Field Roboticscited by 0
- 2024Federated Learning for Drowsiness Detection in Connected Vehiclescited by 0
- 2024Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarioscited by 0
- 2024Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarios3 Oct 2024
- 2024Federated Learning for Drowsiness Detection in Connected Vehicles6 May 2024
- 2023Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning6 Jun 2023
- 2022Taxonomy of A Decision Support System for Adaptive Experimental Design in Field Robotics15 Oct 2022
- 2022Human-AI Shared Control via Policy Dissection31 May 2022
- 2021User Centered Design (VI): Human Factors Approaches for Intelligent Human-Computer Interaction8 Nov 2021
- 2021The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems7 May 2021