Deep Learning-based Virtual Reality User Experience Optimization
Abstract
applications in VR.
??Next, the paper delves into the various aspects of VR technology and focuses on user experience in VR. Discusses various factors that
influence it. The paper also explores different methods for measuring and evaluating user experience in VR.
??Moving on, the paper introduces deep learning algorithms and their potential applications in VR.The next section presents discusses user
interface optimization, personalization and adaptation.
??The paper then presents case study and experiment that demonstrate the effectiveness of deep learning-based optimization techniques.
Case study focuses on optimizing user experience in a virtual reality gaming application.Experiment compares deep learning-based optimization techniques with traditional methods.
??In the final section, the paper discusses future directions and concludes the paper.
Keywords
Full Text:
PDFReferences
[1] M. A. Brooks and K. G. Humphrey, "Virtual reality technology, " Virtual Reality, vol. 5, no. 1, pp. 1-15, 2017.
[2] J. P. Schmidthals, "User experience in virtual reality: a comprehensive review, " Virtual Reality, vol. 7, no. 2, pp. 1-22, 2019.
[3] L. Liu et al., "A survey of user experience in virtual reality applications, " ACM Transactions on Computer Systems, vol. 36, no. 3, p.
10, 2018.
[4] S. J. Kim et al., "Overview of deep learning algorithms in virtual reality, " Journal of Virtual Worlds Research, vol. 5, no. 2, pp. 1-14,
2017.
[5] H. Zhang et al., "Applications of deep learning in virtual reality, " IEEE Transactions on Visualization and Computer Graphics, vol. 25,
no. 4, pp. 1016-1027, 2019.
[6] J. H. Kim et al., "Challenges and opportunities in using deep learning for virtual reality, " Proceedings of the 2018 ACM International
Conference on Virtual Reality, pp. 1-8, 2018.
[7] M. C. Lim et al., "User interface optimization in virtual reality, " ACM Transactions on Computer Systems, vol. 37, no. 3, p. 10, 2019.
[8] R. K. Das et al., "Personalization and adaptation in virtual reality, " Journal of Virtual Worlds Research, vol. 6, no. 1, pp. 1-18, 2018.
[9] S. H. Park et al., "Real-time feedback and interaction optimization in virtual reality, " Proceedings of the 2019 ACM International Conference on Virtual Reality, pp. 1-8, 2019.
DOI: http://dx.doi.org/10.70711/aitr.v2i6.5739
Refbacks
- There are currently no refbacks.
