Hosp Benedikt W, Dechant Martin, Sauer Yannick, Severitt Björn, Agarwala Rajat, Wahl Siegfried
ZEISS Vision Science Lab, Institute for Ophthalmic Research, University of Tübingen, Maria-von-Linden Straße 6, 72076 Tübingen, Germany.
Interaction Centre, University College London, 66-72 Gower Street, London WC1E 6EA, UK.
Sensors (Basel). 2024 Apr 11;24(8):2458. doi: 10.3390/s24082458.
In the rapidly advancing field of vision science, traditional research approaches struggle to accurately simulate and evaluate vision correction methods, leading to time-consuming evaluations with limited scope and flexibility. To overcome these challenges, we introduce 'VisionaryVR', a virtual reality (VR) simulation framework designed to enhance optical simulation fidelity and broaden experimental capabilities. VisionaryVR leverages a versatile VR environment to support dynamic vision tasks and integrates comprehensive eye-tracking functionality. Its experiment manager's scene-loading feature fosters a scalable and flexible research platform. Preliminary validation through an empirical study has demonstrated VisionaryVR's effectiveness in replicating a wide range of visual impairments and providing a robust platform for evaluating vision correction solutions. Key findings indicate a significant improvement in evaluating vision correction methods and user experience, underscoring VisionaryVR's potential to transform vision science research by bridging the gap between theoretical concepts and their practical applications. This validation underscores VisionaryVR's contribution to overcoming traditional methodological limitations and establishing a foundational framework for research innovation in vision science.
在迅速发展的视觉科学领域,传统研究方法难以准确模拟和评估视力矫正方法,导致评估过程耗时且范围有限、灵活性不足。为克服这些挑战,我们引入了“VisionaryVR”,这是一个虚拟现实(VR)模拟框架,旨在提高光学模拟保真度并拓宽实验能力。VisionaryVR利用通用的VR环境来支持动态视觉任务,并集成了全面的眼动追踪功能。其实验管理器的场景加载功能构建了一个可扩展且灵活的研究平台。通过实证研究进行的初步验证表明,VisionaryVR在复制多种视觉障碍以及为评估视力矫正解决方案提供强大平台方面具有有效性。主要研究结果表明,在评估视力矫正方法和用户体验方面有显著改进,凸显了VisionaryVR通过弥合理论概念与其实际应用之间的差距来变革视觉科学研究的潜力。这一验证突出了VisionaryVR在克服传统方法局限性以及为视觉科学研究创新建立基础框架方面的贡献。