Link: https://zenodo.org/records/8321136

Data from the experiment described in (Ma et al., 2024) and (Lin et al., 2024), on pedestrian road-crossing decisions in a controlled environment. Participants were seated in front of a computer screen, with each trial showing an approaching car at one of four times to arrival, and the participants responded with button presses to indicate when they wanted to initiate road-crossing. Both behavioural data (the button press responses) and 64-channel EEG was recorded.

Ma, S., Yan, X., Billington, J., Leonetti, M., Merat, N., & Markkula, G. Improving models of pedestrian crossing behavior using neural signatures of decision-making. OSF preprint. https://doi.org/10.31219/osf.io/ebwgj

Lin, Y. S., Billington, J., Srinivasan, A. R., Leonetti, M., & Markkula, G. (2024). Deciphering the Cognitive Complexity of Road Crossing Decisions: A Novel Model Integrating Time-Varying Drift Rates, Signal Suppression, and Utility Maximization. PsyArXiv preprint. https://doi.org/10.31234/osf.io/h5qwa