Image type reveals evolutionarily shaped perceptual and conceptual mechanisms of pareidolia

Pareidolia-the perception of illusory patterns such as faces or objects in ambiguous stimuli-has been extensively studied, but less is known about how different visual environments shape this phenomenon. This study investigated pareidolia experienced in unmodified natural images (NI) and white noise (WN) images in 81 healthy participants under open-ended instructions. Across both conditions, animals were the most commonly perceived pareidolia, consistent with evolutionary pressures favouring rapid detection of biologically relevant stimuli. Importantly, the semantic categories of pareidolia differed by image type: NI evoked significantly more "Natural World" pareidolia, while WN images primarily elicited "Human-Created" pareidolia. This dissociation suggests that NI stimuli engage bottom-up perceptual organization processes whereas WN images depend more heavily on top-down semantic knowledge and mental imagery. Together, these findings indicate that stimulus type modulates the relative contribution of perceptual and conceptual processes in the resolution of visual ambiguity. Beyond their methodological implications for pareidolia research, these results carry broader relevance for understanding creative perception, hallucinations, and cognitive biases that may have been shaped by evolutionary pressures. They also underscore the need for careful and deliberate selection of visual stimuli when employing open-ended tasks in future studies.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2026-04-15
DOI
https://doi.org/10.1038/s41598-026-47242-x
Primary Topic
Face Recognition and Perception
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Image type reveals evolutionarily shaped perceptual and conceptual mechanisms of pareidolia

A.K. Eberhard-Moscicka, T. Nef, N. Göbel, R. M. Müri et al.
Scientific Reports
Face Recognition and Perception
article

Image type reveals evolutionarily shaped perceptual and conceptual mechanisms of pareidolia

A.K. Eberhard-Moscicka, T. Nef, N. Göbel, R. M. Müri, M. Camenzind, U. P. Mosimann
article en

Abstract

Pareidolia-the perception of illusory patterns such as faces or objects in ambiguous stimuli-has been extensively studied, but less is known about how different visual environments shape this phenomenon. This study investigated pareidolia experienced in unmodified natural images (NI) and white noise (WN) images in 81 healthy participants under open-ended instructions. Across both conditions, animals were the most commonly perceived pareidolia, consistent with evolutionary pressures favouring rapid detection of biologically relevant stimuli. Importantly, the semantic categories of pareidolia differed by image type: NI evoked significantly more "Natural World" pareidolia, while WN images primarily elicited "Human-Created" pareidolia. This dissociation suggests that NI stimuli engage bottom-up perceptual organization processes whereas WN images depend more heavily on top-down semantic knowledge and mental imagery. Together, these findings indicate that stimulus type modulates the relative contribution of perceptual and conceptual processes in the resolution of visual ambiguity. Beyond their methodological implications for pareidolia research, these results carry broader relevance for understanding creative perception, hallucinations, and cognitive biases that may have been shaped by evolutionary pressures. They also underscore the need for careful and deliberate selection of visual stimuli when employing open-ended tasks in future studies.

Scientific Reports
University of Bern (CH), University of Basel (CH), University Hospital of Bern (CH), University Hospital of Basel (CH), Rehaklinik Zihlschlacht (CH)
National Science Foundation, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
Openalex Percentile: Top 9%
Face Recognition and Perception
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.