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Updated: Apr 17, 2026

Generating Strictly Controlled Stimuli for Figure Recognition Experiments
Published on: March 18, 2019
Assessing perceptual change with an ambiguous figures task: Normative data for 40 standard picture sets
Elisabeth Stöttinger1, Nazanin Mohammadi Sepahvand2, James Danckert3
1Department of Psychology, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, N2L 3G1, Canada. estoetti@uwaterloo.ca.
Researchers created 40 new morphing picture sets for perception studies. These novel visual stimuli, with normative naming data, aid research on object recognition and decision-making processes.
Area of Science:
- Cognitive Psychology
- Neuroscience
- Computer Vision
Background:
- Gradually morphing pictures are valuable tools for studying perceptual ambiguity in various research fields.
- Existing stimulus sets are limited in number and vary significantly in quality and perceptual complexity.
Purpose of the Study:
- To introduce a novel set of 40 morphing picture series with accompanying normative data.
- To provide researchers with high-quality, perceptually complex visual stimuli for studying object recognition and decision-making.
Main Methods:
- Generated 40 series of morphing pictures, each progressing through 15 iterations.
- Line drawings of common objects were morphed into different objects within or across animate/inanimate categories.
- Collected normative naming data for each morphing picture series.
Main Results:
- Successfully created 40 distinct morphing picture series.
- The series include transformations both within and between animate and inanimate object categories.
- Normative naming data provides a baseline for perceptual interpretation.
Conclusions:
- The presented morphing picture sets and normative data offer a valuable resource for cognitive and neuroscience research.
- These stimuli can be applied to investigate a wide array of research questions, including perceptual processing and decision-making.
- The dataset enhances the toolkit for studying visual perception under conditions of ambiguity.
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