JOURNAL OF THE COLOR SCIENCE ASSOCIATION OF JAPAN
Online ISSN : 2189-552X
Print ISSN : 0389-9357
ISSN-L : 0389-9357
Volume 42 , Issue 4
Showing 1-2 articles out of 2 articles from the selected issue
  • Shinji Nakamura, Aya Nodera
    Type: Original Paper
    2018 Volume 42 Issue 4 Pages 161-
    Published: July 01, 2018
    Released: July 17, 2018
    JOURNALS FREE ACCESS

     Implicit preferences toward achromatic colors(white, black and gray)were measured using FUMIE(Filtering Unconscious Matching of Implicit Emotions)Test. The measurements of implicit achromatic color preference were repeated twice with four weeks interval, and compared with explicit preference measured with VAS(visual analogue scale).The results of the FUMIE test exhibited a certain range of stability against a time interval, although it was lower than in the VAS results, suggesting that the FUMIE test can be utilized as a reliable method in measuring implicit color preference. The results also indicated significant discrepancies between implicit and explicit measurements of achromatic color preference, which has been repeatedly demonstrated in the previous studies using IAT as an implicit measurement. Furthermore, the current experiment reveals several novel facts concerning implicit color preference, e.g., an implicit black avoidance was hardly expressed in an explicit way. These findings can only be accomplished with a measurement which enabled us to analyze monopolar psychological concepts, just like as a FUMIE test employed in this investigation.

    Download PDF (1431K)
  • Naoki Takahashi, Takashi Sakamoto, Toshikazu Kato
    Type: Original Paper
    2018 Volume 42 Issue 4 Pages 170-
    Published: July 01, 2018
    Released: July 17, 2018
    JOURNALS FREE ACCESS

     When humans look at a picture with a complex color distribution, we identify a small number of representative colors of the picture instantly, and use them for cognitive and emotional processing. In this paper, we propose a model of the perceptions of representative colors and a method for extracting automatically representative colors from a given image based on this model. Our model consists of data analysis methods, and we developed the computational algorithm for the automatic extraction. In addition, we conducted an experiment with human subjects to collect human color perceptions. We compared the results with the color extraction using our proposed method, in order to evaluation through similarity the precision of our estimation results. Conclusively, color perception is more accurate using our proposed method than existing methods.

    Download PDF (1978K)
feedback
Top