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Grounding Color: Links between Image-Based Color Features and Sensory Ratings

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This study examines whether objective, imagederived color statistics align with human sensory ratings for color phrases drawn from six basic hues (black, white, red, green, blue, yellow), and whether these alignments persist beyond general concreteness. For each phrase, low-level visual features were extracted from associated images and linked to normed sensory ratings (visual, haptic, gustatory, olfactory, auditory, interoceptive; plus aggregate indices). Pairwise Spearman correlations with FDR control revealed a coherent pattern across colors: stable chromatic structure, especially the blue-yellow opponent centroid and saturation, was positively associated with visual and aggregate perceptual strength, whereas luminance variability was negatively associated. Selective positive relations between color entropy and gustatory/olfactory ratings were also observed. Concreteness was modeled as a continuous covariate via partial Spearman estimates; shifts were predominantly modest and attenuating, indicating that concreteness explains some shared variance without eliminating core color-sensory links. Exploratory moderation showed limited reliable effects after FDR control. Findings support an embodied account in which interpretable, low-level visual regularities provide compact, reproducible signals of modality-specific grounding across multiple color families, suitable for intelligent data-mining pipelines and multimodal NLP. © 2025 IEEE.
Original languageEnglish
Title of host publication2025 IEEE International Conference on Big Data (BigData)
PublisherIEEE
Pages3099-3104
Number of pages6
ISBN (Electronic)979-8-3315-9447-3
DOIs
Publication statusPublished - Dec 2025
Event13th IEEE International Conference on Big Data (IEEE BigData 2025) - Macau, Macao, China
Duration: 8 Dec 202511 Dec 2025
https://conferences.cis.um.edu.mo/ieeebigdata2025/

Publication series

NameProceedings of the IEEE International Conference on Big Data, BigData
ISSN (Print)2573-2978

Conference

Conference13th IEEE International Conference on Big Data (IEEE BigData 2025)
Abbreviated titleIEEE Big Data 2025
PlaceMacao, China
CityMacau
Period8/12/2511/12/25
Internet address

Research Keywords

  • color statistics
  • embodied cognition
  • multimodal semantics

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