Using Saccadic Suppression to Hide Graphic Updates

J. Schumacher, R. Allison, R. Herpers
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引用次数: 13

Abstract

In interactive graphics it is often necessary to introduce large changes in the image in response to updated information about the state of the system. Updating the local state immediately would lead to a sudden transient change in the image, which could be perceptually disruptive. However, introducing the correction gradually using smoothing operations increases latency and degrades precision. It would be beneficial to be able to introduce graphic updates immediately if they were not perceptible. In the paper the use of saccade-contingent updates is exploited to hide graphic updates during the period of visual suppression that accompanies a rapid, or saccadic, eye movement. Sensitivity to many visual stimuli is known to be reduced during a change in fixation compared to when the eye is still. For example, motion of a small object is harder to detect during a rapid eye movement (saccade) than during a fixation. To evaluate if these findings generalize to large scene changes in a virtual environment, gaze behavior in a 180 degree hemispherical display was recorded and analyzed. This data was used to develop a saccade detection algorithm adapted to virtual environments. The detectability of trans-saccadic scene changes was evaluated using images of high resolution real world scenes. The images were translated by 0.4, 0.8 or 1.2 degrees of visual angle during horizontal saccades. The scene updates were rarely noticeable for saccades with a duration greater than 58 ms. The detection rate for the smallest translation was just 6.25%. Qualitatively, even when trans-saccadic scene changes were detectible, they were much less disturbing than equivalent changes in the absence of a saccade.
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使用跳动抑制隐藏图形更新
在交互式图形中,经常需要在图像中引入较大的变化,以响应有关系统状态的更新信息。立即更新局部状态将导致图像中的突然瞬时变化,这可能会在感知上造成破坏。然而,使用平滑操作逐渐引入校正会增加延迟并降低精度。这将是有益的,能够引入图形更新立即,如果他们是不可察觉的。在这篇论文中,利用视跳随动更新来隐藏伴随快速或视跳眼球运动的视觉抑制期间的图形更新。与眼睛静止时相比,在注视变化期间,对许多视觉刺激的敏感性降低。例如,在快速眼球运动(扫视)中,小物体的运动比注视时更难检测。为了评估这些发现是否适用于虚拟环境中的大场景变化,我们记录并分析了180度半球形显示器中的凝视行为。这些数据被用于开发一种适用于虚拟环境的眼动检测算法。利用高分辨率真实场景图像,评估了跨眼球场景变化的可检测性。在水平扫视时,图像被平移了0.4、0.8或1.2度的视角。对于持续时间大于58毫秒的扫视,场景更新很少被注意到。最小翻译的检出率仅为6.25%。从质量上讲,即使可以检测到跨扫视的场景变化,它们也比没有扫视时的相同变化要小得多。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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