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This is a demo version of the Stroop task modified by Cui et al (2008), to be used to test priming by colors and its association with imagery vividness

-WCST -Stroop -Interleaved

A survey to accompany the MMI task.

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

This experiment demonstrates the effect of using the three units "pix", "height" and "norm" on the scaling of images with PsychoJS. Proceed throught the experiment and resize your Browser window while viewing the images in order to see the effect.

Guess which shape there are more of: squares or triangles. Better pay attention or you will miss it!

This version of the stroop task was built for the purpose of a workshop.

Apprendimento memoria.

The aim of this study is to determine whether likeability ratings of novel food images will decrease after these images are paired together with obese, normal, thin body shapes. If you participate, you will be asked to rate a number of novel food stimuli on how much you think you would like them on a Likert scale from -100 (extremely dislike) to +100 (extremely like). You will then be shown these novel food items again, but each one will also be immediately be followed by an image of different body types (obese, normal, thin). An extinction phase will also be conducted where certain food and body image pairings will not be shown, and the food image will be shown without a body image being shown immediately after. Following these conditioning and extinction phases, you will then be asked to rate both the novel food images and body images using the same Likert scale which will show if your likeability rates differ after viewing the food images being paired with different body types.

apprendimento.

This project accompanies a YouTube tutorial on using eye tracking components in PsychoPy. It includes a local-only .psyexp experiment file demonstrating calibration, validation, gaze-triggered trials using MouseGaze, and custom HDF5 data markers.