Decision-Making in Driver-Automation Shared Control: A Review and Perspectives
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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.
Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). First posted on arXiv 3 Jul 2020.
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Citing papers per year: 2022: 1; 2023: 1; 2024: 1; 2025: 3; 2026: 1.
7 papers.
- 2025Shared Autonomy for Proximal Teachingcited by 4
- 2023An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AIcited by 3
- 2022A Hierarchical Variable Autonomy Mixed-Initiative Framework for Human-Robot Teaming in Mobile Roboticscited by 2
- 2024AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directionscited by 1
- 2025APECS: Adaptive Personalized Control System Architecturecited by 0
- 2025A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflictcited by 0
- 2026Proximal State Nudging: Reducing Skill Atrophy from AI Assistancecited by 0
- 2026Proximal State Nudging: Reducing Skill Atrophy from AI Assistance19 May 2026
- 2025A Human-Oriented Cooperative Driving Approach: Integrating Driving Intention, State, and Conflict29 Dec 2025
- 2025APECS: Adaptive Personalized Control System Architecture10 Mar 2025
- 2025Shared Autonomy for Proximal Teaching27 Feb 2025
- 2024AI-Driven Human-Autonomy Teaming in Tactical Operations: Proposed Framework, Challenges, and Future Directions28 Oct 2024
- 2023An HCAI Methodological Framework (HCAI-MF): Putting It Into Action to Enable Human-Centered AI27 Nov 2023
- 2022A Hierarchical Variable Autonomy Mixed-Initiative Framework for Human-Robot Teaming in Mobile Robotics25 Nov 2022