# Decision-Making in Driver-Automation Shared Control: A Review and Perspectives

arXiv: https://arxiv.org/abs/2007.12597 · HTML: https://mlsanity.com/paper/2007.12597/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 3 Jul 2020.

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

- [Shared Autonomy for Proximal Teaching](https://mlsanity.com/paper/2502.19899/) (2025)
- [An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AI](https://mlsanity.com/paper/2311.16027/) (2023)
- [A Hierarchical Variable Autonomy Mixed-Initiative Framework for Human-Robot Teaming in Mobile Robotics](https://mlsanity.com/paper/2211.14095/) (2022)
- [AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions](https://mlsanity.com/paper/2411.09788/) (2024)
- [APECS: Adaptive Personalized Control System Architecture](https://mlsanity.com/paper/2503.09624/) (2025)
- [A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflict](https://mlsanity.com/paper/2512.23220/) (2025)
- [Proximal State Nudging: Reducing Skill Atrophy from AI Assistance](https://mlsanity.com/paper/2605.20355/) (2026)

## Abstract (arXiv)

Shared control schemes allow a human driver to work with an automated driving agent in driver-vehicle systems while retaining the driver's abilities to control. The human driver, as an essential agent in the driver-vehicle shared control systems, should be precisely modeled regarding their cognitive processes, control strategies, and decision-making processes. The interactive strategy design between drivers and automated driving agents brings an excellent challenge for human-centric driver assistance systems due to the inherent characteristics of humans. Many open-ended questions arise, such as what proper role of human drivers should act in a shared control scheme? How to make an intelligent decision capable of balancing the benefits of agents in shared control systems? Due to the advent of these attentions and questions, it is desirable to present a survey on the decision-making between human drivers and highly automated vehicles, to understand their architectures, human driver modeling, and interaction strategies under the driver-vehicle shared schemes. Finally, we give a further discussion on the key future challenges and opportunities. They are likely to shape new potential research directions.