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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.

A minimalist antisaccade task measuring attention and response control, can be adapted for eye tracking.

Counterbalancing in builder view can involve making a large number of conditions files (.xlsx or .csv).

This script will automate that process by generating all permutations of your conditions and assigning a letter suffix to the file name.

You then need to add a field 'group' to your experiment settings where the input is a list of letters e.g. ['A', 'B'] and in the Conditions field of your outer loop (which specifies the order of blocks/conditions) use the format:

$'conditions'+expInfo['group']+'.csv'

Please cite: Bölling, L., 2022-03-10. Config-File-Parameterization of online and offline experiments in PsychoPy-Builder [Computer software]. Pavlovia. https://gitlab.pavlovia.org/luke.boelling/configfiledemo.

A Psychopy implementation of a working memory span task

The Simple Reaction Time Task (Deary & Liewald, 2011)

A forward and Backward Digit Span test for Working Memory The test adapts to participnts' answers and a score is calculated following Woods et al. (2012)

Experimenting with a slider that can be controlled using the keyboard or mouse hover.

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 classic Stroop task.

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

This project includes the Mooney Faces task, Closure Objects task, Glasgow Face Matching Test, two perception tasks (chimera sets), two facial emotion recognition tasks, the Fantie Cartoon task, and two Identification Threshold tasks.

Based on a Psychology experiment written for Kate Wilmut in 2017.

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