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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2025
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| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2502.03419 |
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| _version_ | 1866912221378904064 |
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| author | Ramaseri-Chandra, Ananth N. Reza, Hassan |
| author_facet | Ramaseri-Chandra, Ananth N. Reza, Hassan |
| contents | This paper presents a novel adaptive Virtual Reality (VR) system that aims to mitigate cybersickness in immersive environments through dynamic, real-time adjustments. The system predicts cybersickness levels in real-time using a machine learning (ML) model trained on head tracking and kinematic data. The adaptive system adjusts foveated rendering (FFR) strength and field of view (FOV) to enhance user comfort. With a goal to balance usability with system performance, we believe our approach will optimize both user experience and performance. Adapting responsively to user needs, our work explores the potential of a machine learning-based feedback loop for user experience management, contributing to a user-centric VR system design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_03419 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Dynamic Cybersickness Mitigation via Adaptive FFR and FoV adjustments Ramaseri-Chandra, Ananth N. Reza, Hassan Human-Computer Interaction This paper presents a novel adaptive Virtual Reality (VR) system that aims to mitigate cybersickness in immersive environments through dynamic, real-time adjustments. The system predicts cybersickness levels in real-time using a machine learning (ML) model trained on head tracking and kinematic data. The adaptive system adjusts foveated rendering (FFR) strength and field of view (FOV) to enhance user comfort. With a goal to balance usability with system performance, we believe our approach will optimize both user experience and performance. Adapting responsively to user needs, our work explores the potential of a machine learning-based feedback loop for user experience management, contributing to a user-centric VR system design. |
| title | Dynamic Cybersickness Mitigation via Adaptive FFR and FoV adjustments |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2502.03419 |