easyyeyes:在线心理物理学的拥挤动态固定。

Fengping Hu, Joyce Yi Xin Chen, Denis G Pelli, Jonathan Winawer
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引用次数: 0

摘要

在线视觉测试可以从不同的参与者有效地收集数据,但需要准确的注视。传统上,固定精度是通过使用相机跟踪凝视来保证的。这在实验室里效果很好,但在使用内置网络摄像头进行在线测试时的跟踪还不够精确。Kurzawski, Pombo等人(2023)引入了一项通过手眼协调来提高注视能力的注视任务,要求参与者用鼠标控制光标跟踪移动的十字瞄准标。这种动态注视任务相对于静态注视任务大大减少了对周边目标的窥视,但并不能完全消除这种现象。在这里,我们通过利用“拥挤”进一步增强固定,在固定标记周围添加杂乱——我们称之为拥挤动态固定。我们评估了外周阈值测量时的固定精度。相对于静态注视任务的RMS注视误差,动态注视误差为61%,而拥挤动态注视误差仅为47%。在1.5°容限下,9%的固定试验出现窥视现象,4%的动态固定试验出现窥视现象,0%的拥挤动态固定试验出现窥视现象。这种改进消除了令人难以置信的低外围阈值,可能是通过防止窥视。我们得出结论,拥挤的动态注视使在线测试的凝视控制更加准确。
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EasyEyes: Crowded Dynamic Fixation for Online Psychophysics.

Online vision testing enables efficient data collection from diverse participants but often requires accurate fixation. When needed, fixation accuracy is traditionally ensured by using a camera to track gaze. That works well in the lab, but tracking during online testing with a built-in webcam is not yet sufficiently precise. Kurzawski, Pombo, et al. (2023) introduced a fixation task that improves fixation through hand-eye coordination, requiring participants to track a moving crosshair with a mouse-controlled cursor. This dynamic fixation task greatly reduces peeking at peripheral targets relative to a stationary fixation task, but does not eliminate it. Here, we introduce a crowded dynamic fixation task that further enhances fixation by adding clutter around the fixation mark to leverage crowding. We assessed fixation accuracy during peripheral threshold measurement. Relative to the RMS gaze error during the stationary fixation task, dynamic fixation error was 61%, while crowded dynamic fixation error was only 47%. With a 1.5° tolerance, peeking occurred on 9% of trials with stationary fixation, 4% with dynamic fixation, and 0% with crowded dynamic fixation. This improvement eliminated implausibly low peripheral thresholds, likely by preventing peeking. We conclude that crowded dynamic fixation provides accurate gaze control for online testing.

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