Color induction in anomalous color vision

Chromatic perception anomalies stem from altered mechanisms for discriminating wavelengths, often linked to variations in retinal photopigment function. Although diagnostic tests typically use non-contextual stimuli to isolate specific aspects of color processing, everyday color perception is inherently shaped by contextual cues. Here, we bridged this gap by measuring color perception of achromatic target stimuli being perceived as colored through color induction from the background. Participants with protanomaly (n = 11), deuteranomaly (n = 12), and typical color vision (n = 12) completed color-matching and categorical color-labeling tasks involving chromatically induced percepts within a target stimulus embedded in eight different background hues. A leave-one-out cross-validation decoding procedure showed that hue responses were highly predictive of group membership. In addition, within the protan and deutan groups, linear regression analyses revealed systematic correlations between perceived hue and clinical severity, as measured by the Color Assessment and Diagnosis Test. Specifically, greater anomaly severity was associated with stronger clockwise shifts in circular color space for stimuli whose backgrounds lay along the red-green axis. Importantly, shifts in matching responses were mirrored in categorical labeling, demonstrating that induction affects both continuous and discrete dimensions of color perception. Taken together, these findings indicate that chromatic induction can differentiate between different anomalous color vision capturing not only anomaly type but also severity along a continuous scale.

Authors

Institutions

Publication Details

Journal
Vision Research
Published
2026-03-05
DOI
https://doi.org/10.1016/j.visres.2026.108799
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Color induction in anomalous color vision

Massimo Gurioli, Alessandro Farini, Paolo Antonino Grasso, Roberto Arrighi
Vision Research
Visual perception and processing mechanisms
article

Color induction in anomalous color vision

Massimo Gurioli, Alessandro Farini, Paolo Antonino Grasso, Roberto Arrighi
article en

Abstract

Chromatic perception anomalies stem from altered mechanisms for discriminating wavelengths, often linked to variations in retinal photopigment function. Although diagnostic tests typically use non-contextual stimuli to isolate specific aspects of color processing, everyday color perception is inherently shaped by contextual cues. Here, we bridged this gap by measuring color perception of achromatic target stimuli being perceived as colored through color induction from the background. Participants with protanomaly (n = 11), deuteranomaly (n = 12), and typical color vision (n = 12) completed color-matching and categorical color-labeling tasks involving chromatically induced percepts within a target stimulus embedded in eight different background hues. A leave-one-out cross-validation decoding procedure showed that hue responses were highly predictive of group membership. In addition, within the protan and deutan groups, linear regression analyses revealed systematic correlations between perceived hue and clinical severity, as measured by the Color Assessment and Diagnosis Test. Specifically, greater anomaly severity was associated with stronger clockwise shifts in circular color space for stimuli whose backgrounds lay along the red-green axis. Importantly, shifts in matching responses were mirrored in categorical labeling, demonstrating that induction affects both continuous and discrete dimensions of color perception. Taken together, these findings indicate that chromatic induction can differentiate between different anomalous color vision capturing not only anomaly type but also severity along a continuous scale.

Vision ResearchVol. 243
National Interuniversity Consortium of Materials Science and Technology (IT), University of Florence (IT)
Reduced inequalities
Openalex Percentile: Top 37%
Visual perception and processing mechanisms
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.