在虚拟现实中识别语言诱导的眼睛行为的心理负荷
Johannes Schirm1, Andrés Roberto Gómez-Vargas1, Monica Perusquía-Hernández1
1Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma 630-0192, Japan.
Sensors (Basel, Switzerland)
|August 12, 2023
概括
内容独立的眼睛指标,如瞳孔大小和焦点偏移,可以在没有侵入性的方法的情况下识别虚拟现实 (VR) 用户的心理负载. 这项研究为评估虚拟现实中的用户体验提供了一种新的方法.
科学领域:
- 人与计算机的交互
- 认知科学 认知科学
- 虚拟现实 虚拟现实 虚拟现实
背景情况:
- 评估用户状态的侵入性方法可能会破坏虚拟现实 (VR) 体验.
- 行为测量,特别是眼睛追踪,越来越多地被用作非侵入性的替代方案.
- 目前在VR中的眼睛跟踪分析通常集中在内容依赖的指标上.
研究的目的:
- 调查内容独立眼睛指标的实用性,以识别VR用户的心理负载.
- 探索瞳孔大小,眼率,以及一种新的指标,焦点偏移,作为认知努力的指标.
- 使用视觉内容独立的听觉刺激来诱导和测量心理负荷.
主要方法:
- 参与者在VR环境中的虚拟电话亭中体验了听觉刺激 (母语和外语).
- 收集了眼睛跟踪数据,包括瞳孔大小,眼和焦点偏移.
- 通过听觉刺激操纵精神负载,并分析其与眼睛指标的相关性.
主要成果:
- 增加的心理负担与相对瞳孔大小 (0.512 SDs) 的显著增加以及变异的减少相关.
- 心理负荷也导致了更少的固定和不太自愿地凝视分散注意力的元素.
- 一个更大的焦点偏移,表明"着远处"的现象,观察到精神负荷增加.
结论:
- 内容独立的眼睛指标,如瞳孔大小和焦点偏移,是VR中心理负荷的可行指标.
- 这些发现支持使用非侵入性的眼睛跟踪措施来评估用户在虚拟现实中的认知状态.
- 鼓励进一步的研究和技术进步,以提高这些指标的稳定性和应用.
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