Vol. 1 No. 1 (2021): Human-Computer Interaction Perspectives
Articles

User Experience Design: Analyzing Principles and Practices of User Experience (UX) Design for Creating Intuitive, Engaging, and Accessible Interactive Systems

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  • Prof. Satoshi Tanaka
Prof. Satoshi Tanaka
Professor of User Research, Keio University, Japan
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Published 27-02-2024

Keywords

  • User Experience Design,
  • UX Principles,
  • User-Centered Design,
  • Usability,
  • Accessibility,
  • User Research,
  • Prototyping,
  • Testing Methodologies
    • ...More
    Less

How to Cite

[1]
P. S. Tanaka, “User Experience Design: Analyzing Principles and Practices of User Experience (UX) Design for Creating Intuitive, Engaging, and Accessible Interactive Systems”, Human-Computer Interaction Persp., vol. 1, no. 1, pp. 1–8, Feb. 2024.
Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Abstract

User Experience (UX) design plays a crucial role in creating interactive systems that are intuitive, engaging, and accessible to users. This paper provides a comprehensive analysis of the principles and practices of UX design, focusing on its importance in today's digital landscape. We explore the key principles that guide effective UX design, such as user-centered design, usability, and accessibility. Additionally, we delve into the practical aspects of UX design, including user research, prototyping, and testing methodologies. By understanding these principles and practices, designers and developers can create more user-friendly and impactful interactive systems.

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References

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  9. Vyas, B. (2021). Ensuring Data Quality and Consistency in AI Systems through Kafka-Based Data Governance. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(1), 59-62.
  10. Pargaonkar, S. (2020). Bridging the Gap: Methodological Insights from Cognitive Science for Enhanced Requirement Gathering. Journal of Science & Technology, 1(1), 61-66.
  11. Rajendran, R. M. (2021). Scalability and Distributed Computing in NET for Large-Scale AI Workloads. Eduzone: International Peer Reviewed/Refereed Multidisciplinary Journal, 10(2), 136-141.
  12. Pargaonkar, S. (2020). Future Directions and Concluding Remarks Navigating the Horizon of Software Quality Engineering. Journal of Science & Technology, 1(1), 67-81.