Abstract
In the context of an aging society, the aging design of key elements of the design of the old shopping application helps to improve the user experience of the elderly users. In this paper, through the user research, test set clustering method and other methods to achieve the extraction of the key elements of the elderly shopping app design, around the extraction of “page layout, graphic collocation, color, text size” and other four key elements of the experimental design, and finally through the user experience measurement, one-way analysis of variance and other methods, the page layout, graphic matching style, color visual style and text size range of the shopping app suitable for the elderly are obtained.
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Lin, C.: Developmental Psychology. People’s Education Press, Beijing (2005)
Li, Y., Shi, W., Zhu, L.: Study on the evaluation of APP user experience of the elderly based on grey analytic hierarchy process. J. Graph. 01, 68–74 (2018)
Feng, X., Zhang, T.: Comparison of four clustering methods. Microcomput. Appl. 20, 1–3 (2010)
Ke, H., Shen, H.: Statistical Analysis Methods in Survey Research. Communication University of China Press, Beijing (2005)
Sauro, J., Lewis, J.R.: Quantifying the User Experience: Practical Statistics for User Research. China Machine Press, Beijing (2014)
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Liu, W., Wang, F., Chen, Y. (2020). Study on Key Elements of Shopping App Design for the Elderly. In: Ahram, T., Karwowski, W., Vergnano, A., Leali, F., Taiar, R. (eds) Intelligent Human Systems Integration 2020. IHSI 2020. Advances in Intelligent Systems and Computing, vol 1131. Springer, Cham. https://doi.org/10.1007/978-3-030-39512-4_117
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DOI: https://doi.org/10.1007/978-3-030-39512-4_117
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