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Demo self-paced reading task

A T and L visual search experiment in psychopy

A simple demo of audiovisual temporal adaptation. Participants are presented with sets of flash-beep pairs. In the adaptation block participants passively watch the stimuli. In the respond block participants judge if the beep or flash was presented first.

Sensory adaptation occurs when participants judgements are shifted by a period of training (e.g. first presenting stimuli with an audio-lead lag may later bias participants to respond that they heard the beep first)

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 staircase using the QUEST algorithm from Watson & Pelli (1983)

Please Cite: Bölling, L., 2022-01-14. HTML Instructions for Online-Experiments in PsychoPy [Computer software]. Pavlovia. https://gitlab.pavlovia.org/luke.boelling/htmlinstructionsdemo.

Basic JND orientation discrimination demo

An example of a visual search task. Participants must search for the letter T amongst distractor letters.

A demo based on the Bilingual Stroop effect. Also demonstrates how to achieve a counterbalanced design.

A demo based on the Posner Cueing Effect.

A demo based on the Glasgow Face Matching task. Used in the study of face perception.

Participants are presented with a series of numbers and must recall them by typing them into a box. The amount of numbers will increase, making the task harder and harder until we can measure the maximum amount of numbers a participant can remember.

A demo based on the Eriksen Flanker paradigm. Participants respond to the direction of a central arrow, whilst ignoring distracting flankers.

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'