Standardized database of abstract stimuli : 17th Conference of the Swiss Psychological Society, Zurich, Switzerland
UniDistance Suisse
- Ovalle-Fresa, Rebecca ORCID UniDistance Suisse
- Di Pietro, Sarah Valérie (Contributor) ORCID Department of Child and Adolescent Psychiatry and Psychotherapy, University Hospital of Psychiatry Zurich
- Reber, Thomas P. (Contributor) ORCID UniDistance Suisse
- Rothen, Nicolas (Contributor) ORCID UniDistance Suisse
- 2022
English
In experimental research aiming to control for verbal influence and strategy or to control for novelty and familiarity, meaningless stimuli with corresponding norms are necessary. We therefore provided a database incorporating such information for complex abstract stimuli that are hard to verbalize. Grey-scaled fractals were rated on the stimulus features of abstractness, animacy, verbalizability, complexity, familiarity, favorableness, and memorability in an online sample. Moreover, we assessed labels for each fractal to calculate indices of naming agreement and modal names. To establish external validation for selected stimulus features, we evaluated the classifier probability of a deep neural network labeling the fractals, data compression rate of fractal image files, and performance in a recognition-memory task. Overall, the results confirmed the high abstractness and low verbalizability of the provided stimuli. The present work fills the gap of a standardized database for abstract stimuli and provides a database with valid norms for abstract stimuli based on ratings and external validation measures. This database can now be used to control and manipulate these stimulus features in experimental settings using abstract stimuli.
- Language
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- English
- License
- CC BY
- Identifiers
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- ARK ark:/51647/srd1322223
- Persistent URL
- https://n2t.net/ark:/51647/srd1322223
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