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Research on the Optimization Method of Website Based on User Experience

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Advances in Usability, User Experience and Assistive Technology (AHFE 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 794))

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Abstract

With the popularity of Web 2.0 applications, there is a new trend in the way the Internet is used: creating a more user-centered approach to content management, information sharing, communications, teamwork, and more. Interaction and experience in web design become even more important. Positive user experience allows users to easily and efficiently complete the task, increase intimacy, comfort and sense of success, thereby enhancing customer satisfaction and enhance brand reputation. Website user experience design has become the respectable business occupation of the market, the key to winning customers. At present, most of the design of the Web interface in our country still stays in the imitation stage. Research on the Web user experience is only confined to some fragmented design theories, and there is a big gap compared with the foreign industry. In the face of new technologies and new needs of users, academics and industrial designers face enormous challenges. How to provide a systematic and effective method of development for the design and implementation of website user experience has become the focus of this article. This article is a bold attempt at the integration of psychological, behavioral, artistic and technical multidisciplinary approaches in the design of web user interface. Combined with the experimental analysis of a large number of well-known website examples, this article is validated both theoretically and practically this paper propose the scientific and important design principles and methods.

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Correspondence to Ya-Qi Jiang .

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Li, CF., Jiang, YQ. (2019). Research on the Optimization Method of Website Based on User Experience. In: Ahram, T., Falcão, C. (eds) Advances in Usability, User Experience and Assistive Technology. AHFE 2018. Advances in Intelligent Systems and Computing, vol 794. Springer, Cham. https://doi.org/10.1007/978-3-319-94947-5_42

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  • DOI: https://doi.org/10.1007/978-3-319-94947-5_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94946-8

  • Online ISBN: 978-3-319-94947-5

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