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In this task participants are required to sort the presented cards based on a rule. The rule is unknown to the participants, however they receive feedback whether their answer was correct. The rule changes after certain amount of trials. This experiment is based on Grant & Berg (1948) experiment.

In this task participants are required to sort the presented cards based on a rule. The rule is unknown to the participants, however they receive feedback whether their answer was correct. The rule changes after certain amount of trials. This experiment is based on Grant & Berg (1948) experiment.

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

In this task participants are required to memorise and recall number series in order. Participants start out with three 3-digit sequences. If participants correctly recall 2 out of 3 three sequences, they progress to 4-digit sequence trials and so on. If participants respond incorrectly on 2/3 trials the experiment terminantes. This experiment is based on the original digit span experiment by Jacobs (1887).

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

In this task participants are required to memorise and recall number series in order. Participants start out with three 3-digit sequences. If participants correctly recall 2 out of 3 three sequences, they progress to 4-digit sequence trials and so on. If participants respond incorrectly on 2/3 trials the experiment terminantes. This experiment is based on the original digit span experiment by Jacobs (1887).

This is a modified version of the popular Go/Nogo paradigm based on the paper by Liebrand et al. (2017) FrontNeurosci, 11, 204. The task aims to measure proactive inhibition. In this version, response feedback has been added.

The classic Stroop task.

Use the mouse to control what part of an image you can see. This demo shows you how easy it is to build rich dynamic studies using only the Builder view.

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

In this task participants are required to sort the presented cards based on a rule. The rule is unknown to the participants, however they receive feedback whether their answer was correct. The rule changes after certain amount of trials. This experiment is based on Grant & Berg (1948) experiment.

This artificial language learning experiment investigates the grammatical category of number: specifically, its singular, dual, and plural vallues. The experiment tests the intuition that syncretisms must target shared underlying material in the values that participate.

This is one condition of that experiment: one where the dual and plural are syncretic in the area of verbal agreement.

An attempt at programming an experiment about value-based decision-making that is running online

Basic demo of a temporal order judgement task. Participants are asked to judge if the beep or the flash is presented first.

Trying to resolve the issue of uploading data

In this task participants are required to observe grey square flash on the screen and only make a response if the square is presented at the top. This experiment is based on Greenberg & Waldman (1993) Test of Varaiable Attention.

Text Input using text and code component

This is a simple demonstration showing how to take keyboard inputs and present them on screen using a text component.

You will be presented with a target word. Following the target presentation, you will be asked to type the target word on screen, from memory.When you have finished typing the word, press "return" to end the trial.

identify associations between English words

This IAT is availible to the public for use.

After forking, please review the algorithm for determining IAT scores prior to unveiling the IAT to your participants. IAT scores are calculated in the code component of the Last_Block.

Note, this is designed to be both intuitive and easy to alter for your own purposes. Use wisely.

The Algorithm is based of Greenwalk, Nosek, and Banaji (2003).

Those with questions can contact lirivera@wisc.edu Copyright 2019, Laur Rivera, All rights reserved.

Test a demo without videos and only images to present