Contrast negation increases face pareidolia rates in natural scenes

Face pareidolia, the phenomenon of seeing face-like patterns in non-face images, has a dual nature: Pareidolic patterns are experienced as face-like, even while observers can recognize the true nature of the stimulus (Stuart et al., 2025). Although pareidolic faces seem to result largely from the canonical arrangement of eye spots and a mouth, we hypothesized that competition between veridical and face-like interpretations of pareidolic patterns may constrain face pareidolia in natural scenes and textures. Specifically, we predicted that contrast negation, which disrupts multiple aspects of mid- to high-level recognition, may increase rates of face pareidolia in complex natural textures by weakening the veridical, non-face stimulus interpretation. We presented adult participants (n = 27) and 5- to 12-year-old children (n = 67) with a series of natural images depicting textures such as grass, leaves, shells, and rocks. We asked participants to circle any patterns in each image that looked face-like, with no constraints on response time or pattern size, position, and orientation. We found that, across our adult and child samples, contrast-negated images yielded more pareidolic face detections than positive images. We conclude that disrupting veridical object and texture recognition enhances pareidolia in children and adults by compromising half of the dual nature of a pareidolic pattern.

Authors

Institutions

Publication Details

Journal
Journal of Vision
Published
2025-11-13
DOI
https://doi.org/10.1167/jov.25.13.5
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

Contrast negation increases face pareidolia rates in natural scenes

Benjamin Balas, Myra Morton, Lily Roshau, Emily Westrick et al.
Journal of Vision
Face Recognition and Perception
article

Contrast negation increases face pareidolia rates in natural scenes

Benjamin Balas, Myra Morton, Lily Roshau, Emily Westrick, Molly Setchfield
article en

Abstract

Face pareidolia, the phenomenon of seeing face-like patterns in non-face images, has a dual nature: Pareidolic patterns are experienced as face-like, even while observers can recognize the true nature of the stimulus (Stuart et al., 2025). Although pareidolic faces seem to result largely from the canonical arrangement of eye spots and a mouth, we hypothesized that competition between veridical and face-like interpretations of pareidolic patterns may constrain face pareidolia in natural scenes and textures. Specifically, we predicted that contrast negation, which disrupts multiple aspects of mid- to high-level recognition, may increase rates of face pareidolia in complex natural textures by weakening the veridical, non-face stimulus interpretation. We presented adult participants (n = 27) and 5- to 12-year-old children (n = 67) with a series of natural images depicting textures such as grass, leaves, shells, and rocks. We asked participants to circle any patterns in each image that looked face-like, with no constraints on response time or pattern size, position, and orientation. We found that, across our adult and child samples, contrast-negated images yielded more pareidolic face detections than positive images. We conclude that disrupting veridical object and texture recognition enhances pareidolia in children and adults by compromising half of the dual nature of a pareidolic pattern.

Journal of VisionVol. 25(13)
Missouri State University (US), Morpho (United States) (US), North Dakota State University (US), JDSU (United States) (US), West Visayas State University (PH)
National Science Foundation
Openalex Percentile: Top 66%
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.