Area of research
Computer Vision and Pattern Recognition · Automotive Engineering
Research interest
Research interests include Psychology, Computer science, Neuroscience, Path integration, Virtual reality, and Hippocampal formation.
Predicting real-world navigation performance from a virtual navigation task in older adults
Video gaming, but not reliance on GPS, is associated with spatial navigation performance
The relationship between object-based spatial ability and virtual navigation performance
Real and virtual environments have comparable spatial memory distortions after scale and geometric transformations
Combining patient-lesion and big data approaches to reveal hippocampal contributions to spatial memory and navigation
Landmark-dependent Navigation Strategy Declines across the Human Life-Span: Evidence from Over 37,000 Participants
Cultural determinants of the gap between self-estimated navigation ability and wayfinding performance: evidence from 46 countries
Entropy and a sub-group of geometric measures of paths predict the navigability of an environment
Wayfinding and path integration deficits detected using a virtual reality mobile app in patients with traumatic brain injury
Entropy of city street networks linked to future spatial navigation ability
Communicating and reading emotion with masked faces in the Covid era: A short review of the literature
Big data meet deep data: Characterizing spatial navigation in hippocampal amnesia
HAL (Le Centre pour la Communication Scientifique Directe) 2021cited by 0position: middle