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EnVisionVR:用于虚拟现实中的视觉可访问性的场景解释工具

Junlong Chen, Rosella P Galindo Esparza, Vanja Garaj

IEEE transactions on visualization and computer graphics

|October 6, 2025

概括

EnVisionVR通过提供场景解释来增强盲人和视力低下 (BLV) 用户的虚拟现实 (VR). 这种新的系统改进了对象的位置和交互,使VR更容易获得.

科学领域:

人与计算机的交互
虚拟现实可访问性虚拟现实可访问性
辅助技术辅助技术辅助技术

背景情况:

虚拟现实 (VR) 中有效的视觉可访问性对于失明和视力低下 (BLV) 的用户至关重要.
由于3D环境和与现有应用程序的整合挑战,设计可访问的VR系统是复杂的.
视觉语言模型 (VLMs) 的进步为VR场景解释提供了新的可能性.

研究的目的:

为解决BLV用户在VR中缺乏视觉可访问性功能的问题.
开发和评估EnVisionVR,这是一种用于VR场景解释和交互的新系统.
为了在虚拟环境中提高可访问性,利用VLM.

主要方法:

进行了形成性研究,以确定BLV用户在VR中的可用性障碍.
设计和开发EnVisionVR,集成VLM,语音输入和多式联络反.
评估了EnVisionVR与12个BLV用户进行评估,以评估其有效性.

主要成果:

证实了视觉可访问性不足是VR中BLV用户的一个重大障碍.
EnVisionVR在用户定位虚拟对象的能力方面取得了显著的改进.
该系统有效地支持BLV用户的场景理解和虚拟对象交互.

结论:

对于BLV用户来说,EnVisionVR代表了VR场景解释的新方法.
集成VLM,语音输入和多式联络反可以提高VR的可访问性.
这些发现支持EnVisionVR的潜力,以改善视觉障碍者VR体验.

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