First, we calculated chroma, value, and hue of 63 automotive exterior colors based on CIEL*a*b* values measured with a multi angle spectrophotometer. Secondly, color preference of female college students for the 63 colors was surveyed, and the relation between optical property and their color preference was examined. Then, availability of the optical property as an assessment tool in decision making process on automotive exterior color by the color designers was studied for the choice of

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... iate colors which meet consumers' preference. As a result, although the color preference of the female college students was able to be classified by the optical property, such as flip-flop value and color-flop value, we could not identify which optical property was preferred.