Vol. 2 No. 1 (2022): Journal of AI-Assisted Scientific Discovery
Articles

Human-Centered Design of AI-driven User Interfaces for Autonomous Vehicle Cybersecurity

Dr. Yang Wang
Associate Professor of Electrical Engineering, Zhejiang University, China
Cover

Published 24-06-2024

Keywords

  • human-machine interfaces,
  • (HMIs),
  • cybersecurity

How to Cite

[1]
Dr. Yang Wang, “Human-Centered Design of AI-driven User Interfaces for Autonomous Vehicle Cybersecurity”, Journal of AI-Assisted Scientific Discovery, vol. 2, no. 1, pp. 1–24, Jun. 2024, Accessed: Sep. 18, 2024. [Online]. Available: https://scienceacadpress.com/index.php/jaasd/article/view/44

Abstract

In the context of AV cybersecurity, this will help to provide access to a wider spectrum of robust AI utilities which require AI behaviors in the future to reason about the behavior of other AIs, particularly when the intent could be harmful. This is a cornerstone to the realization of the economic and social benefits of autonomous vehicles.

This paper presents several principles for designing a human-in-the-loop AI-driven user interface and discusses a framework that develops adaptive plans and control algorithms to drive their designs. We have validated several of these principles through prototype autonomous vehicle control systems and use the lessons learned to propose an integrated feedback and feedforward system with ever-faster feedback loops.

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