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A parametric framework to generate visual illusions using python
journal contribution
posted on 2023-06-10, 06:10 authored by Dominique MakowskiDominique Makowski, Zen J Lau, Tam Pham, W Paul Boyce, S H Annabel ChenVisual illusions are fascinating phenomena that have been used and studied by artists and scientists for centuries, leading to important discoveries about the neurocognitive underpinnings of perception, consciousness, and neuropsychiatric disorders such as schizophrenia or autism. Surprisingly, despite their historical and theoretical importance as psychological stimuli, there is no dedicated software, nor consistent approach, to generate illusions in a systematic fashion. Instead, scientists have to craft them by hand in an idiosyncratic fashion, or use pre-made images not tailored for the specific needs of their studies. This, in turn, hinders the reproducibility of illusion-based research, narrowing possibilities for scientific breakthroughs and their applications. With the aim of addressing this gap, Pyllusion is a Python-based open-source software (freely available at https://github.com/RealityBending/Pyllusion), that offers a framework to manipulate and generate illusions in a systematic way, compatible with different output formats such as image files (.png,.jpg,.tiff, etc.) or experimental software (such as PsychoPy).
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Publication status
- Published
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- Published version
Journal
PerceptionISSN
0301-0066Publisher
SAGE PublicationsExternal DOI
Issue
11Volume
50Page range
950-965Event location
United StatesDepartment affiliated with
- Psychology Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2023-02-06First Compliant Deposit (FCD) Date
2023-02-04Usage metrics
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