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Robust individual alignment of color qualia structures: toward a structure-based taxonomy of divergent color experiences

Yu Togashi, Yuko Yotsumoto, Chihiro Hiramatsu, Naotsugu Tsuchiya, Masafumi Oizumi

bioRxiv February 15, 2026 preprint DOI: 10.64898/2026.02.13.705699 (opens in new tab)

Study at a glance

AI-extracted from the abstract
Characteristics Observational study Qualitative
Sample size 11
Population 11 individuals providing color similarity judgments
Measures Total Error Score (TES) on Farnsworth-Munsell 100 hue test
Key findings The authors report that individual color qualia structures align into two clusters, color-neurotypical and color-atypical, while also forming a continuous spectrum: some participants with normal color discrimination on the Farnsworth-Munsell 100 hue test (Total Error Score) did not align with either cluster, showing idiosyncratic structures. They propose that this structure-based taxonomy complements conventional performance-based classification.

Abstract

Whether qualitative aspects of consciousness, or qualia in short, are equivalent across individuals is a foundational scientific question. Testing this is challenging because one cannot assume a shared mapping between stimuli and private experience (my “red” may be your “green”) [1–3]. Previously, we proposed a structural characterization of qualia [4, 5] and the quantitative assessment of structural correspondences through an unsupervised alignment method [4, 6], which does not presuppose such correspondence. Using this approach, our previous work focused on identifying optimal mappings between relational structures of color qualia at the group level [4]. Given known perceptual diversities [7], however, it remained unknown whether any two individuals’ structures could be empirically aligned. Here, we resolve this by collecting 4,371 pairwise similarity ratings for 93 colors-from 11 individuals, enabling direct individual-to-individual alignment. We reveal two fundamental, coexisting features. First, we identified two clusters of individuals showing robust within-cluster alignment, corresponding to color-neurotypicals and atypicals. Second, we uncovered a continuous spectrum of diversity: some participants who showed normal color discrimination ability in terms of the Total Error Score (TES) on Farnsworth-Munsell 100 hue test nevertheless failed to align with either cluster, revealing idiosyncratic structures that defy simple categorization. Together, these findings suggest a novel structure-based taxonomy of divergent color qualia that complements conventional performance-based classification. Our method is generalizable to other sensory modalities, and opens a path to the scientific investigation of both shared and idiosyncratic qualitative aspects of consciousness.

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