Obstacle avoidance with simulated prosthetic vision in plain and complex visual environments

Data repository for the study by de Ruyter van Steveninck, et al. (2022; https://doi.org/10.1167/jov.22.2.1). The study implemented a simulated prosthetic vision mobility paradigm, where sighted subjects (N=20) walk and avoid (real-wold) cartboard obstacles using limited vision presented with a virtual reality headset (HTC Vive Pro Eye). This dataset contains: i) Screen captures of the video stream. ii) Responses to the exit survey. iii) Event files (timestamps) with the main behavioural data. A repository with the full data analysis can be found here: https://github.com/neuralcodinglab/WF1-Experiments. More details on the data and some basic analysis code can be found in the DOCUMENTATION markdown file.