Risky decision and happiness task: The Great Brain Experiment smartphone app
Data files
Jan 06, 2021 version files 86.10 MB
Mar 29, 2023 version files 87.52 MB
Abstract
This resource consists of data from a risky decision and happiness task that was part of The Great Brain Experiment (GBE) smartphone app. Data were collected from 47,067 participants aged 18+ between March 8, 2013 and October 5, 2015. These anonymous unpaid participants completed the task a total of 91,058 times making approximately 2.7 million choices and 1.1 million happiness ratings in total. This resource represents at least 6,000 hours of task data. A subset of 1,858 participants also completed a depression questionnaire and answered five questions about their depression history.
Data are stored in Matlab structure arrays. The Matlab script Rutledge_GBE_risk_data_code.m generates key results from published studies. Please read the associated README file.
- Rutledge, Robb B.; Skandali, Nikolina; Dayan, Peter; Dolan, Raymond J. (2014), A computational and neural model of momentary subjective well-being, Proceedings of the National Academy of Sciences, Journal-article, https://doi.org/10.1073/pnas.1407535111
- Brown, Harriet R. et al. (2014), Crowdsourcing for Cognitive Science – The Utility of Smartphones, PLoS ONE, Journal-article, https://doi.org/10.1371/journal.pone.0100662
- Rutledge, Robb B. et al. (2016), Risk Taking for Potential Reward Decreases across the Lifespan, Current Biology, Journal-article, https://doi.org/10.1016/j.cub.2016.05.017
- Rutledge, Robb B. et al. (2017), Association of Neural and Emotional Impacts of Reward Prediction Errors With Major Depression, JAMA Psychiatry, Journal-article, https://doi.org/10.1001/jamapsychiatry.2017.1713
- Chen, Xiuli et al. (2018), Age-dependent Pavlovian biases influence motor decision-making, PLOS Computational Biology, Journal-article, https://doi.org/10.1371/journal.pcbi.1006304
