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Research on Optimization of Information Coding for Car Dashboard Based on Eye Movement Analysis

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Advances in Ergonomics in Design (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 955))

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Abstract

In order to research the effects of interactive designs for different car panels on driving efficiency, the layouts of the current common car dashboard were investigated and 35 experimental stimulus materials were obtained. Tobii X2-30 eye tracker was used to perform eye movement test on 30 subjects. SPSS V21.0 was used to analyze the corresponding data. Results show that the setting of the speedometer in the middle position has a significant impact on the reading of tachometer and water temperature meter. The area on the left panel got less attention and complex color dials get more fixations. The best layout for the overall reading of the instrument is class-A. Moreover, complex color matching design can depress the reading efficiency.

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Acknowledgements

The presented work has been supported by General project of China University of Labor Relations (19YYJS003) and Teaching Reform Project (zyjs201804).

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Correspondence to Guilei Sun .

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Sun, G., Li, Q., Meng, Y., Ran, L. (2020). Research on Optimization of Information Coding for Car Dashboard Based on Eye Movement Analysis. In: Rebelo, F., Soares, M. (eds) Advances in Ergonomics in Design. AHFE 2019. Advances in Intelligent Systems and Computing, vol 955. Springer, Cham. https://doi.org/10.1007/978-3-030-20227-9_12

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  • DOI: https://doi.org/10.1007/978-3-030-20227-9_12

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-20226-2

  • Online ISBN: 978-3-030-20227-9

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