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Categorisation of Colour Terms Using New Validation Tools: A Case Study and Implications.

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This study converted Color-aid tiles to CIE values, revealing that Chakali language color terms do not align with the Color-aid system, impacting linguistic and color perception research.

Keywords:
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Area of Science:

  • Linguistics
  • Color Science
  • Psychophysics

Background:

  • The Color-aid Corporation Chart is widely used in linguistic studies of color perception.
  • Previous research faced challenges analyzing color terms due to lack of standardized numerical data for Color-aid tiles.
  • Standardization requires conversion to Commission internationale de l'éclairage (CIE) values.

Purpose of the Study:

  • To convert all 314 Color-aid tiles into CIE values for accurate analysis.
  • To investigate the relationship between Chakali language color terms and the Color-aid system.
  • To establish a method for distinguishing visual-perception terms from color terms.

Main Methods:

  • Chromaticity measurements of 314 Color-aid tiles were performed.
  • Measurements were converted into CIE values at the Daylight Laboratory of the Norwegian University of Science and Technology.
  • Statistical analysis was attempted using CIE chromaticity diagrams and Natural Colour System (NCS) diagrams.

Main Results:

  • The conversion methodology and CIE values for all Color-aid tiles are presented.
  • Chakali language color terms could not be reliably mapped to Color-aid categories.
  • Data averaging into CIE diagrams and statistical analysis proved impossible, indicating a mismatch.

Conclusions:

  • The Color-aid system's color categories are not universally applicable to all color-perception terms, specifically for the Chakali language.
  • Ideophonic expressions in the Chakali dataset do not correspond to 'colors' as defined by the Color-aid system.
  • A systematic method using predefined thresholds can differentiate visual-perception terms from established color terms.