Anthony D. McDonald
Papers
2
Total Citations
23
H-Index
2
About
Anthony D. McDonald is a leading researcher in human factors engineering, with a focus on understanding and modeling adaptive human behavior in automated systems. His work bridges traffic psychology, cognitive science, and human-automation interaction, particularly in the context of autonomous vehicle development. McDonald’s most-cited paper, “Resolving uncertainty on the fly: modeling adaptive driving behavior as active inference” (2024, 18 citations), introduces a novel framework that treats driver decision-making as a process of active inference—a Bayesian approach to managing uncertainty in real time. This work is foundational for creating more realistic simulated driver models, directly supporting the safe evaluation and deployment of autonomous vehicles. In his earlier work, “Trust in Automation: Comparison of Automobile, Robot, Medical, and Cyber Aid Technologies” (2021, 5 citations), McDonald systematically compares trust attitudes across different automation domains, revealing how dispositional and learned factors shape user reliance on technology. His contributions are critical for designing automation that users can trust and use effectively. With a growing citation impact and a focus on resolving uncertainty in human-machine systems, McDonald’s research is shaping the future of safe, human-centered automation.
Research Focus
Key Achievements
Top Papers
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