An adaptation of the task described by Nussenbaum, K., Scheuplein, M., Phaneuf, C., Evans, M.D., & Hartley, C.A. (2020) - Moving developmental research online: comparing in-lab and web-based studies of model-based reinforcement learning..
They collected data from 151 participants on two tasks: the two-step task, as described in Decker et al. (2016) and the Matrix Reasoning Item Bank (MaRs-IB) as described in Chierchia, Fuhrmann et al. (2019).
The adaptation of the two-step task, developed using jsPsych, can be found in the src directory.
This sequential decision-making task was originally described in Decker et al. (2016), and is based off of an adult task originally described in Daw et al. (2011). Participants make a series of sequential decisions to try to gain as much reward as possible. In this version, on each trial, participants first must select a spaceship, which then transports them to one of two planets where they can ask an alien for space treasure.
The jsPsych version of the task was originally coded by the Niv Lab at Princeton, adapted by the Hartley Lab at NYU for use online with children, adolescents, and adults, and adapted here by the Brain Development and Disorders Lab at Washington University in St. Louis.
All raw data and analysis code has been moved into the analysis directory. All analyses and results reported in the Nussenbaum et. al. (2020) manuscript can be reproduced by running the R scripts (for all data summary statistics and regression analyses) and MATLAB code (for the computational modeling of the two-step task data).
For questions about the task used by Nussenbaum et. al., please contact katenuss@nyu.edu. For questions about this specific adaptation, please contact henry.burgess@wustl.edu.
Pavlovia integration was removed from all source code. A general cleanup of JavaScript source code.
Other changes include:
- Gorilla platform integration
- Packaging of images, audio and CSV files
- Integration of
jspsych-wrapper
library
- ESLint integration for code quality
- Rocket images and backgrounds updated
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
For questions about the task used by Nussenbaum et. al., please contact <katenuss@nyu.edu>. Please contact Henry Burgess <henry.burgess@wustl.edu> regarding this adaptation or other code-related issues and feedback.