Abstract
The development of intelligent automobiles puts forward higher requirements for HMI design. The information obtained by drivers through vision accounts for 80%. As a key part of visual perception, color affects driving performance. This article investigates vehicle interface design about icon-background contrast. Three colors commonly used in car-machine interface are chosen: red, green and blue, and contrast is divided into five levels under daytime and nighttime. The participants tested three colors and the five contrasts in an experiment using classic paradigm of secondary tasks. We collected data from their driving behavior and subjective experience, trying to find a most appropriate value. The results show that recommended contrast values under different lighting conditions are 3:1 to 4:1 for red, blue, and green during the day; 3:1 for red at night, and 5:1 for blue and green, so that the vehicle central console color design references are formed.
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References
Shepherd, G.M.: Neurobiology. Oxford University Press, USA (1994)
Sun, B.L., et al.: Research on color design of vehicle man-machine interface based on eye movement experiment. Packag. Eng. 40(2), 8 (2019)
Cheng, J.M., et al.: Colorology. Science Press, China (2006)
Yeh, M., Wickens, C.D.: Attentional filtering in the design of electronic map displays: a comparison of color coding, intensity coding, and decluttering techniques. Hum. Factors 43(4), 543–562 (2001)
Lavie, T., et al.: Aesthetics and usability of in-vehicle navigation displays. Int. J. Hum.-Comput. Stud. 69(1–2), 80–99 (2011)
Cui, L.L., Yang, Z.: An investigation on operator interface of utility vehicle based on multi-discipline fusion design. In: 9th International Conference on Computer-Aided Industrial Design & Conceptual Design, vol. 1 and 2, pp. 124–127 (2008)
Standardization, I.O.f.: Road vehicles—Ergonomic aspects of transport information and control systems—Specifications and test procedures for in-vehicle visual presentation (2009)
Vivek, D.B.: Ergonomics in the Automotive Design Process. CRC Press, Boca Raton (2012)
Acking, B.C., Küller, H.: The perception of an interior as a function of its color. Ergonomics 15(6), 10 (1972)
Ulusoy, B., et al.: Color semantics in residential interior architecture on different interior types. Color Res. Appl. 45(5), 941–952 (2020)
Fabius, S., et al.: From road distraction to safe driving: evaluating the effects of boredom and gamification on driving behavior, physiological arousal, and subjective experience. Comput. Hum. Behav. 10, 714–726 (2017)
Hunsley, J., Meyer, G.J.: The incremental validity of psychological testing and assessment: Conceptual, methodological, and statistical issues. Psychol. Assess. 15(4), 446–455 (2003)
Vermersch, P.: Mental workload - its theory and measurement. In: Moray, N. (ed.) Annee Psychologique, vol. 81, no. 2, pp. 591–592. Springer, New York (1981). https://doi.org/10.1007/978-1-4757-0884-4
Acknowledgments
This work was supported by National Key Research and Development Program (No. 2018YFB1004903); Tongji University Excellent Experimental Teaching Program and Tongji University Graduate Education Research and Reform Project (No. 2020JC35); and was funded by the National Social Science Fund (No. 19FYSB040), Shanghai Automobile Industry Science and Technology Development Foundation (No. 1717).
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You, F. et al. (2021). Interface Color Design of Intelligent Vehicle Central Console. In: Ahram, T.Z., Falcão, C.S. (eds) Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, vol 275. Springer, Cham. https://doi.org/10.1007/978-3-030-80091-8_93
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DOI: https://doi.org/10.1007/978-3-030-80091-8_93
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