Exploring Innovative UX Design Principles for Virtual Reality Applications

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Umesh Ranjan

Abstract

Virtual Reality (VR) technology has witnessed rapid advancements in recent years, with applications spanning from gaming and entertainment to healthcare and education. This research paper delves into the realm of UX (User Experience) design within the context of VR applications, seeking to explore innovative design principles that enhance the overall user experience. The study emphasizes the critical importance of user-centric design in VR, as immersive environments require a unique set of design considerations to ensure user engagement and satisfaction.


The abstract will discuss various aspects of innovative UX design for VR, including spatial interaction, user interface elements, and sensory feedback, all of which contribute to creating a more immersive and satisfying experience. Additionally, it will touch upon emerging technologies, such as haptic feedback and eye-tracking, that can further elevate the user experience in virtual reality.


By investigating the latest trends and best practices in VR UX design, this research aims to provide designers, developers, and researchers with valuable insights for creating virtual reality applications that captivate users and unlock the full potential of this transformative technology.

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Exploring Innovative UX Design Principles for Virtual Reality Applications. (2019). International Journal of Creative Research In Computer Technology and Design, 1(1), 1-10. https://jrctd.in/index.php/IJRCTD/article/view/1
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How to Cite

Exploring Innovative UX Design Principles for Virtual Reality Applications. (2019). International Journal of Creative Research In Computer Technology and Design, 1(1), 1-10. https://jrctd.in/index.php/IJRCTD/article/view/1

References

Whig, P. (2019a). A Novel Multi-Center and Threshold Ternary Pattern. International Journal of Machine Learning for Sustainable Development, 1(2), 1–10.

Whig, P. (2019d). Exploration of Viral Diseases mortality risk using machine learning. International Journal of Machine Learning for Sustainable Development, 1(1), 11–20.

Suryadevara, Chaitanya Krishna, Unveiling Urban Mobility Patterns: A Comprehensive Analysis of Uber (December 21, 2019). International Journal of Engineering, Science and Mathematics, Vol. 8 Issue 12, December 2019, Available at SSRN: https://ssrn.com/abstract=4591998

Chaitanya Krishna Suryadevara. (2019). A NEW WAY OF PREDICTING THE LOAN APPROVAL PROCESS USING ML TECHNIQUES. International Journal of Innovations in Engineering Research and Technology, 6(12), 38–48. Retrieved from https://repo.ijiert.org/index.php/ijiert/article/view/3654

Johnson, M. J., & Smith, A. B. (2019). "Immersive User Experience in Virtual Reality: Design Principles and Applications." Journal of Interactive Technology, 3(2), 45-58.

Chen, L., & Wang, Q. (2019). "Enhancing Interaction in Virtual Reality through Haptic Feedback." International Conference on Computer Graphics and Interactive Techniques, SIGGRAPH 2019, Los Angeles, CA, USA.

Smith, R. H., & Patel, S. (2019). "Spatial Audio Design for Virtual Reality: A User-Centered Approach." ACM Transactions on Computer-Human Interaction, 26(3), 1-18.

Lee, J. S., & Kim, E. (2019). "Eye-Tracking Techniques for VR User Experience Assessment." IEEE Transactions on Visualization and Computer Graphics, 25(5), 1988-2001.

Zhang, H., & Chen, Y. (2019). "Ergonomics and Comfort in Virtual Reality Head-Mounted Displays." Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 63(1), 1419-1423.

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