Jean-Alix David
Papers
2
Total Citations
15
H-Index
2
About
Jean-Alix David is a researcher at the intersection of autonomous vehicle technology and human-robot interaction, with a focus on how passengers perceive and behave within self-driving cars. His most-cited work, "Personal space of autonomous car's passengers sitting in the driver's seat" (2018, 12 citations), offers pioneering insights into the psychological and spatial dynamics of occupants who delegate control to an autonomous system while remaining in the driver's position. This study, conducted in the context of urban shared spaces, provides a first look at how personal space boundaries shift when humans are no longer in control—a critical consideration for designing trustworthy and comfortable autonomous interiors. David also contributes to technical advances in perception, as seen in his 2022 paper on "A cross-prediction, hidden-state-augmented approach for Dynamic Occupancy Grid filtering" (3 citations), which improves the modeling of complex dynamic environments for robotics and automotive applications. His work bridges human factors and state-of-the-art grid-mapping, making him a notable voice in the transition toward human-centered autonomous mobility.
Research Focus
Key Achievements
Top Papers
- 1Personal space of autonomous car's passengers sitting in the driver's\n seat12 citations · 2018
- 2