MultiRepTask is the code for an experiment aiming to test whether identical real-world information my be represented through multiple different cognitive frames (or multiple schemata, depending on the way you approach the problem).
The test aims to "produce" cognitive framins on participant's mind through category learning and association of categories, using repetitive differentiation tasks. Once "formed" the cognitive frames, we will test whether identical stimuli will be classified at chance, when ambiguous (no contextual cue exhibited), and according to the stimulated frames, when indirect information (contextual cue) is exhibited.
The test is currently a work-in-progress, at the middle of its development.
Implemented Sessions:
- Namu-Bonho Differentiation Learning
- Wug-Tug Differentiation Learning
TODO Sessions:
- Olbar-Zilnar Differentiation Learning
- Olbar-Wug-Namu x Zilnar-Tug-Bonho Association Differentiation Learning
- Multiple Representation Test with ambiguous stimuli
Bruno Moreira-Guedes moreira.guedes@estudante.uffs.edu.br
This software is licensed under the terms of the GNU Affero GPL.