A scoping review of the use of lab streaming layer framework in virtual and augmented reality research
A scoping review of the use of lab streaming layer framework in virtual and augmented reality research
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DOI：
10.1007/s10055-023-00799-8
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发表时间：
2023-05
期刊：
影响因子：
4.2
通讯作者：
Qile Wang;Qinqi Zhang;Weitong Sun;C. Boulay;Kangsoo Kim;R. Barmaki
中科院分区：
文献类型：
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作者：
Qile Wang;Qinqi Zhang;Weitong Sun;C. Boulay;Kangsoo Kim;R. Barmaki
多模态数据的使用为人机交互研究和虚拟和增强现实（VR/AR）体验的新技术提供了极好的机会。收集、协调和同步来自多个VR/AR硬件的大量数据，同时保持高帧率可能是一项艰巨的任务，尽管多模态数据具有令人信服的性质。实验室流层（LSL）是一个开源框架，它支持同步收集各种类型的多模态数据，而不像现有的昂贵的替代方案。然而，尽管有其潜力，该框架尚未被VR/AR研究社区完全采用。在本文中，我们提出了在VR/AR研究中使用LSL框架的指导方针，并通过对该主题进行全面的文献综述来报告当前的趋势。我们从2015年1月至2022年3月使用LSL提取了549篇出版物。我们分析数据类型、显示和目标应用领域。我们描述了对38篇选定论文的深入评论，并提供了LSL在VR/AR研究社区中的使用，同时强调了好处，挑战和未来的机会。
The use of multimodal data allows excellent opportunities for human–computer interaction research and novel techniques regarding virtual and augmented reality (VR/AR) experiences. Collecting, coordinating, and synchronizing a large amount of data from multiple VR/AR hardware while maintaining a high framerate can be a daunting task, despite the compelling nature of multimodal data. The Lab Streaming Layer (LSL) is an open-source framework that enables the synchronous collection of various types of multimodal data, unlike existing expensive alternatives. However, despite its potential, this framework has not been fully adopted by the VR/AR research community. In this paper, we present a guideline of the LSL framework’s use in VR/AR research as well as report current trends by performing a comprehensive literature review on the subject. We extract 549 publications using LSL from January 2015 to March 2022. We analyze types of data, displays, and targeted application areas. We describe in-depth reviews of 38 selected papers and provide use of LSL in the VR/AR research community while highlighting benefits, challenges, and future opportunities.