Speed-accuracy trade-offs in Roulette, a probabilistic physics game

Data for: Speed-accuracy trade-offs in Roulette, a probabilistic physics gameAuthors: Siheng Chen, S Ganga Prasath, Andrew Marantan, L MahadevanbioRxiv preprint: https://doi.org/10.1101/2025.03.04.641449 Overview This dataset accompanies the preprint titled "Speed-accuracy trade-offs in Roulette, a probabilistic physics game", where we explore human decision-making through the game of Roulette. The data and analysis scripts included here allow reproduction of the figures discussed in the article. Contents Data.txt:A tab-delimited plain text file containing raw data collected from human participants as they played their trials of the Roulette game. Each row corresponds to a single instance/response of the player. Processing_Plots.ipynb:A Jupyter Notebook containing Python code to: Pre-process the raw data Analyze patterns and generate the figures presented in the article Usage Place Data.txt and Processing_Plots.ipynb in the same directory. Open Processing_Plots.ipynb using Jupyter Lab or Jupyter Notebook. Run all cells to reproduce the data analysis and figures. Citation If you use this dataset, please cite the bioRxiv article: Chen, S., Prasath, S.G., Marantan, A., & Mahadevan, L. (2025). Speed-accuracy trade-offs in Roulette, a probabilistic physics game. bioRxiv. https://doi.org/10.1101/2025.03.04.641449