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Study on the Design of Dyslexia-Friendly Drug Instructions

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Universal Access in Human-Computer Interaction (HCII 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14020))

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Abstract

People with dyslexia are more likely to be unable to understand important information about drugs, which is very likely to cause dangerous phenomena such as misuse. Due to the need to control the sale price of drugs and comply with laws and regulations, the drug instructions are often very compact and dense in the layout design. It is not easy to take care of the dyslexia when designing. This study attempts to introduce product design methods, explore the factors that lead to poor reading experience of instructions, and obtain demand and evaluation characteristics. Through the questionnaire survey, understanding public concern about different forms of content in drug instructions, and classify them. The kano model is used to study user satisfaction, and the user’s demand for the function of drug instructions is obtained, which provides data support and theoretical guidance for subsequent design. On this basis, the layout literature in line with the physiological characteristics of dyslexia were studied to complete the design practice of dyslexia-friendly Chinese drug instructions at the lowest possible cost. It is hoped that this design will not only alleviate the distress of readers when reading instructions, but also bring more comfortable and smooth reading experience to the public.

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Correspondence to Xin Guan .

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Guan, X., Zhang, R., Shi, K. (2023). Study on the Design of Dyslexia-Friendly Drug Instructions. In: Antona, M., Stephanidis, C. (eds) Universal Access in Human-Computer Interaction. HCII 2023. Lecture Notes in Computer Science, vol 14020. Springer, Cham. https://doi.org/10.1007/978-3-031-35681-0_22

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  • DOI: https://doi.org/10.1007/978-3-031-35681-0_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35680-3

  • Online ISBN: 978-3-031-35681-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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