Abstract
One of the consequences of the global aging is an increase in the driving by the elderly. Due to their slower perception, processing and cognition, elder drivers face greater risk of traffic accidents. This study is an analysis of the color collocation and text of existing dashboard cameras. After analyzing the results of the questionnaire and interviews concerning the visibility and load of the subjects through the cognition questionnaire, this study established an experimental interface to simulate the situation where an elder driver is reading the dashboard camera in driving. Moreover, we conducted a simulation with changeable color collocation which enabled the subjects to select the best color collocation for the interface of the dashboard camera. In this way, the driver can save energy and concentration in reading the dashboard in driving and pay more attention to road safety, thus reducing the risk of traffic accidents.
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Acknowledgements
The authors would like to appreciate that this research is financially supported by MOST (Ministry of Science and Technology) at Taiwan, R.O.C, under the project number: MOST 105-2221-E-209-004-All invited subjects and designers are also appreciated very much.
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Chang, S.Y., Liu, SF., Lin, MC., Wang, MH. (2018). A Study on the Interface of Dashboard Camera Designed for the Elderly. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_28
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DOI: https://doi.org/10.1007/978-3-319-60366-7_28
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