Human-Centered Autonomous Vehicle Systems: Principles of Effective Shared Autonomy
This work addresses the complex, interdisciplinary problem of human-AI interaction in autonomous vehicles, which is crucial for safety and usability in real-world applications.
The paper tackles the challenge of designing autonomous vehicles that effectively interact with humans by proposing human-centered principles, and it presents the Human-Centered Autonomous Vehicle as a case study to illustrate their implementation.
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.