GitLab

Open Source Anticipated Response Inhibition (OSARI)

Adapted for use online

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A learning task based on the reinforcement learning model. The current version is based on the paper by Frank, Woroch and Curran. (2005). Neuron, 47(4), 495-501.

Credit Card Image by https://pixabay.com/users/OpenClipart-Vectors-30363/ Use to ask a participant to work out their screen scale relative to a credit card.

Stroop Task

Balloon Analogue Risk Task (BART)

The experiment: ——

This is a simplified (and prettified) version of the BART task by Lejuez et al (2002). Participants have to blow up a balloon that they know will burst at some point. They ‘earn’ rewards for getting the balloons to be larger, but increase the risk of bursting it, in which case they earn no reward for that balloon. The question is, how many times does someone pump each balloon trying to optimise their rewards.

The measure is designed to quantify individual differences in risk-taking.

Analysing your data: ——

You should filter out data where the balloon burst and measure the number of pumps made for the remaining trials.

Notes: ——

WARNING: This is an advanced demo involving lots of code components

This can be extended to be more similar to the original paper by adding further colours of balloons with different bursting profiles.

The Attention Network Task (Fan et al., 2002).

This task shows you the drag and drop capabilities of PsychoPy and PsychoJS. The demonstration uses a drag and drop puzzle game. The task requires you to drag and drop the black and white pieces into the empty square.

The classic Stroop task.

Open sourced Implicit Association Test (IAT) as a demonstration. This version will run locally in PsychoPy (mouse input) or online (including touchscreen input)