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Web Accessibility Enhancement for Medical Consultation Platforms

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Computer Science and Education. Computer Science and Technology (ICCSE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2023))

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Abstract

With a rapid evolution of the healthcare domain and COVID outbreak, people start using online consultation platforms to seek treatments. However, the design of medical web pages is complex due to it integrates a lot of information. The goal of this research is to make the Web of medical consultation platforms more accessible for people with visual impairments, especially the elderly. The research was motivated by conducting a survey with 15 elderly people to learn about their needs when visiting the medical web pages. Based on the results, we proposed and designed a new system, TarsiEyes, which not only mined data information from the online platform, but it also provided a new interface integrating results from crawler technology and web customization for accessibility enhancement. The results of the user study with eight users showed that the proposed design significantly enhanced reading speed, reading comprehension and readability of the medical web pages.

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Author information

Authors and Affiliations

  1. Shandong University of Finance and Economics, Jinan, 250014, China

    Huike Wang & Xiao Yang

  2. Northeastern University, Boston, 02115, USA

    Chen-Hsiang Yu

Authors
  1. Huike Wang
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  2. Chen-Hsiang Yu
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  3. Xiao Yang
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Corresponding author

Correspondence to Xiao Yang .

Editor information

Editors and Affiliations

  1. Xiamen University, Xiamen, China

    Wenxing Hong

  2. Xiamen University Malaysia, Sepang, Malaysia

    Geetha Kanaparan

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Wang, H., Yu, CH., Yang, X. (2024). Web Accessibility Enhancement for Medical Consultation Platforms. In: Hong, W., Kanaparan, G. (eds) Computer Science and Education. Computer Science and Technology. ICCSE 2023. Communications in Computer and Information Science, vol 2023. Springer, Singapore. https://doi.org/10.1007/978-981-97-0730-0_3

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  • DOI: https://doi.org/10.1007/978-981-97-0730-0_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-97-0729-4

  • Online ISBN: 978-981-97-0730-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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