4.7 Article

Perceptual thresholds for display lag in a real visual environment are not affected by field of view or psychophysical technique

期刊

DISPLAYS
卷 31, 期 3, 页码 143-149

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.displa.2010.04.002

关键词

Helmet mounted displays; Latency detection; Lag detection; Update delay; Simulator sickness

资金

  1. Office of Naval Research [N000140210010]

向作者/读者索取更多资源

Introduction: Lag between head movement and the time to render the visual consequences of the movement during head mounted display (HMD) applications presents challenges in the appearance of a stable image. This appearance of an image to lag behind or swim about may cause detriments in user performance, lack of user acceptance, and simulator sickness. These known potential consequences of HMD use motivated the current work to explore the human capability to detect display lag. The aim in this study was to gain a better understanding of the threshold for display lag detection and what variables affect this threshold. Methods: Twenty four subjects completed a repeated-measures three field of view (FOV: 10 degrees, 38 degrees, and full monocular) X two psychophysical technique (forced-choice and simple) experimental design. Passive sinusoidal head movements about the yaw axis were generated by an oscillating chair. A visual scene consisting of vertical bars was projected by an optokinetic drum moving in a sinusoidal fashion with the subjects. Subjects reported whether the scene lagged behind head movement. Results: The grand threshold mean for lag detection was 147.64 ms (SD = 84.91). The median was 130 ms and the 25th and 75th percentiles were 84.17 ms and 206.25 ms, respectively. Lag thresholds were not systematically influenced by either FOV or psychophysical technique. Discussion: Naive subjects in the current study were less sensitive to lag as compared to thresholds reported in previous HMD studies, which provided lag detection strategies and practice [e.g., 77 ms; Ellis, Mania, Adelstein, & Hill, 2004]. Future examinations using the current paradigm should provide detection strategies and more practice. (C) 2010 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据