LoCoMoTe - 根据任务,技术和方式对VR中的自然运动进行分类的框架
IEEE transactions on visualization and computer graphics
|September 11, 2023
概括
本研究介绍了LoCoMoTe框架,以组织虚拟现实 (VR) 自然行走研究. 它帮助研究人员比较实验,并识别VR导航技术的知识差距.
科学领域:
- 人与计算机的交互
- 虚拟现实 (VR) 研究研究
- 人类导航和行为建模模型
背景情况:
- 虚拟现实 (VR) 研究广泛涵盖了移动技术,用户体验和用于重定向算法的机器学习.
- 了解VR中的人类导航和行为对于开发有效的重定向算法至关重要.
- 在没有结构化的框架的情况下,越来越多的VR研究使得识别,选择和比较相关研究变得具有挑战性.
研究的目的:
- 为了促进基于VR的自然步行文献的结构化和比较.
- 为研究人员提供一个标准化的框架,用于组织VR实验方法.
- 帮助识别研究缺口,并促进VR自然行走研究领域内的讨论.
主要方法:
- 对140篇基于VR的研究论文的方法描述进行了主题分析,其中包括实时用户实验.
- 分析重点是了解实验条件是如何描述和实施的.
- 这导致了LoCoMoTe框架的发展.
主要成果:
- 开发了LoCoMoTe框架,包括三个核心主题:航行决策,技术实施和模式.
- 该框架为VR自然步行研究中的实验条件的结构和比较提供了一种标准化的方法.
- 该框架对知识进行了分类和系统化,有助于识别研究缺口.
结论:
- LoCoMoTe框架为组织和比较VR自然步行研究提供了有价值的工具.
- 建议不断更新框架,以保持其相关性和全面性.
- 它支持系统的知识积累,并促进了对VR运动的有针对性的未来研究.
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