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multiple-object-tracking-paradigm

This is the multiple object tracking paradigm, as first described by Pylyshyn and Storm (1988). In this very experiment, the objects follow a Brownian motion and expected to indicate all the objects they have been tracking instead of selecting if one object has been tracked or not.

Note that this multiple object tracking is NOT RELATED TO COMPUTER VISION.

Change n_prac and n_real variables in the main file to change how many practice and real trials there will be, respectively.

Dependencies: PyGame, PsychoPy

To run the MOT experiment, download and run the main experiment file; requires MOT_constants.py and messagescreens.py to run. The GUIDED experiment file includes a step-by-step guide.

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