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A very simple CPT vigilance task, that is set to 10% occurence of the target

Built in PsychoPy by Rodrigo Salgueiro Pardo (Pardo RS) for the Human Movement Research Laboratory (MOVI-LAB), at São Paulo State University (UNESP), School of Sciences, Campus Bauru.

Related to the undergraduate research project entitled "Effect of intermittent hypoxia on cortical activity in young adults", designed and written by Alline do Valle (Valle A), funded by the National Council for Scientific and Technological Development (CNPq), supervised by the Ph.D. Prof. Fabio Augusto Barbieri (Barbieri FA) and MSc. Jônatas Augusto Cursiol (Cursiol JA).

NOTE: The representative project image was taken from Serebros website.

This experiment demonstrates how to modify a loop's 'Selected Rows'.

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

The classic Stroop task.

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.

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.

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.

This is a simple Lexical decision task. A fixation cross will be displayed in the centre of the screen. Following this 2 text stimuli will then appear, and the participant will have to respond if they are words or non words pressing ‘w’ if they are both words or ‘n’ if one or more is not a real word. This will be repeated 36 times for the main trial. Reaction time and accuracy will be recorded, and congruent and incongruent pairs will be compared. If you have any issues please get in touch with me at 19010167@hope.ac.uk Thank you Michael Dolan 19010167@hope.ac.uk

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.

In this experiment, you will see a set of colored squares. On half of the trials, a cue will direct you to maintain items in either the left or right visual field after a brief delay.

The classic Stroop task.

This experiment runs a working memory task similar to the distractor-based change detection task of Vogel Machizawa (2005) (see also Lenaert et al., 2016). Colored targets are shown in left & right visual field, attention is directed using a cue. Distractors can be presented in addition to targets.

Sometimes we might want participants to adjust the volume of a sound to a "comfortable level" before presnting they with that sound in the real experiment. This demo shows how you can do that with buttons and a code component.

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Demo to randomise switch and non-switch trials in a classification task. The conditions are preloaded in code and allocated to two lists so that switch and non-switch trials can be balanced.

add / remove stimuli as accuracy increases / decreases