Abstract
In order for users to find necessary information more easily, the targets should be more salient than the non-targets. In this study, we intended to find the critical color differences that could be helpful in locating the target information. Previous studies have focused on the critical color differences in the C.I.E. color system though the H.S.B color model is often the choice for a color design. Given the popularity of the H.S.B. color, the shift of a focus from the C.I.E. color system to the H.S.B. color model, which is widely used for computer graphic software, seemed quite inevitable. As a result, our experiments revealed that over 60-degree differences in hue dimension and over about 40% difference in brightness dimension resulted in faster search. However, no significant differences in the search time were found along with the saturation dimension.
This work was supported by Yonsei university research fund of 1999.
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References
Carter, R. C.: Calculate the effects of symbol size on usefulness of color. Proceedings of the Human Factors Society 33rd Annual Meeting, (1989) 1368–1372
Goldstein, E. B.: Sensation and Perception, California, Brooks/Cole Publishing Co., 4th ed. (1996)
Healey, C. G.: Choosing Effective Colours for Data Visualization, Proceedings of IEEE Visualization’ 96 (1996)
Lagy, A. L., Sanchez, R.R,: Chromaticity and Luminance as Coding Dimensions in Visual Search, Human Factors, 34 (1992) 601–604
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© 2000 Springer-Verlag Berlin Heidelberg
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Hong, JY., Cho, KJ., Han, KH. (2000). The Effect of Color Differences on the Detection of the Target in Visual Search. In: Lee, SW., Bülthoff, H.H., Poggio, T. (eds) Biologically Motivated Computer Vision. BMCV 2000. Lecture Notes in Computer Science, vol 1811. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45482-9_35
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DOI: https://doi.org/10.1007/3-540-45482-9_35
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