Papers
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Total Citations
2
H-Index
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About
Romain Guesdon is a researcher at the forefront of human-vehicle interaction, specializing in the evaluation of human activities within autonomous vehicles. His work bridges engineering, psychology, and sensor technology to understand how passengers behave and feel in self-driving cars. Guesdon’s major contribution is the development of AutoExp, a multidisciplinary, multi-sensor framework that systematically assesses human activities—such as posture, attention, and emotional state—during autonomous driving. This framework integrates data from cameras, physiological sensors, and environmental inputs, providing a comprehensive tool for designing safer and more comfortable in-car experiences. Although his most-cited paper, “AutoExp: A Multidisciplinary, Multi-Sensor Framework to Evaluate Human Activities in Self-Driving Cars” (2023), has garnered 2 citations, its impact lies in its foundational approach to a nascent field. Guesdon’s work is notable for its early, holistic perspective on the human factors of autonomous vehicles, addressing a critical gap as robot-taxi services begin to appear in cities worldwide. His research is essential for engineers and designers aiming to create user-centered autonomous systems, ensuring that as self-driving technology evolves, it prioritizes human well-being and trust.
Research Focus
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