Virtual Reality User Experience - Challenges and Solutions: Analyzing challenges and solutions in virtual reality (VR) user experience (UX) design for creating immersive and engaging virtual environments
Keywords:
User Experience, UX DesignAbstract
Virtual Reality (VR) has emerged as a transformative technology, offering immersive experiences across various domains. However, designing compelling VR experiences comes with unique challenges. This paper examines key challenges and presents solutions in VR user experience (UX) design. We discuss the importance of presence, comfort, interaction, and content in creating engaging VR environments. Various strategies, including interface design, locomotion techniques, and content optimization, are explored. Additionally, we address the role of user testing and feedback in refining VR experiences. By understanding these challenges and implementing effective solutions, designers can enhance the overall VR UX, making it more accessible and enjoyable for users.
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Sadhu, Ashok Kumar Reddy, et al. "Enhancing Customer Service Automation and User Satisfaction: An Exploration of AI-powered Chatbot Implementation within Customer Relationship Management Systems." Journal of Computational Intelligence and Robotics 4.1 (2024): 103-123.
Tatineni, Sumanth. "Applying DevOps Practices for Quality and Reliability Improvement in Cloud-Based Systems." Technix international journal for engineering research (TIJER)10.11 (2023): 374-380.
Perumalsamy, Jegatheeswari, Muthukrishnan Muthusubramanian, and Selvakumar Venkatasubbu. "Actuarial Data Analytics for Life Insurance Product Development: Techniques, Models, and Real-World Applications." Journal of Science & Technology 4.3 (2023): 1-35.
Devan, Munivel, Lavanya Shanmugam, and Manish Tomar. "AI-Powered Data Migration Strategies for Cloud Environments: Techniques, Frameworks, and Real-World Applications." Australian Journal of Machine Learning Research & Applications 1.2 (2021): 79-111.
Selvaraj, Amsa, Chandrashekar Althati, and Jegatheeswari Perumalsamy. "Machine Learning Models for Intelligent Test Data Generation in Financial Technologies: Techniques, Tools, and Case Studies." Journal of Artificial Intelligence Research and Applications 4.1 (2024): 363-397.
Katari, Monish, Selvakumar Venkatasubbu, and Gowrisankar Krishnamoorthy. "Integration of Artificial Intelligence for Real-Time Fault Detection in Semiconductor Packaging." Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online) 2.3 (2023): 473-495.
Tatineni, Sumanth, and Naga Vikas Chakilam. "Integrating Artificial Intelligence with DevOps for Intelligent Infrastructure Management: Optimizing Resource Allocation and Performance in Cloud-Native Applications." Journal of Bioinformatics and Artificial Intelligence 4.1 (2024): 109-142.
Prakash, Sanjeev, et al. "Achieving regulatory compliance in cloud computing through ML." AIJMR-Advanced International Journal of Multidisciplinary Research 2.2 (2024).
Venkataramanan, Srinivasan, et al. "Leveraging Artificial Intelligence for Enhanced Sales Forecasting Accuracy: A Review of AI-Driven Techniques and Practical Applications in Customer Relationship Management Systems." Australian Journal of Machine Learning Research & Applications 4.1 (2024): 267-287.
Makka, A. K. A. “Optimizing SAP Basis Administration for Advanced Computer Architectures and High-Performance Data Centers”. Journal of Science & Technology, vol. 1, no. 1, Oct. 2020, pp. 242-279, https://thesciencebrigade.com/jst/article/view/282.
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