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感知模糊事件的信息:光流和颜色是相加的。

Information for perceiving blurry events: Optic flow and color are additive.

机构信息

Department of Psychology, Sun Yat-sen University, Guangzhou, China.

Guangdong Provincial Key Laboratory of Social Cognitive Neuroscience and Mental Health, Guangzhou, China.

出版信息

Atten Percept Psychophys. 2021 Jan;83(1):389-398. doi: 10.3758/s13414-020-02135-7. Epub 2020 Oct 1.

Abstract

Information used in visual event perception includes both static image structure projected from opaque object surfaces and dynamic optic flow generated by motion. Events presented in static blurry grayscale displays have been shown to be recognized only when and after presented with optic flow. In this study, we investigate the effects of optic flow and color on identifying blurry events by studying the identification accuracy and eye-movement patterns. Three types of color displays were tested: grayscale, original colors, or rearranged colors (where the RGB values of the original colors were adjusted). In each color condition, participants identified 12 blurry events in five experimental phases. In the first two phases, static blurry images were presented alone or sequentially with a motion mask between consecutive frames, and identification was poor. In Phase 3, where optic flow was added, identification was comparably good. In Phases 4 and 5, motion was removed, but identification remained good. Thus, optic flow improved event identification during and after its presentation. Color also improved performance, where participants were consistently better at identifying color displays than grayscale or rearranged color displays. Importantly, the effects of optic flow and color were additive. Finally, in both motion and postmotion phases, a significant portion of eye fixations fell in strong optic flow areas, suggesting that participants continued to look where flow was available even after it stopped. We infer that optic flow specified depth structure in the blurry image structure and yielded an improvement in identification from static blurry images.

摘要

视觉事件感知中使用的信息包括从不透明物体表面投射的静态图像结构和由运动产生的动态光流。已经表明,只有在呈现光流时和之后,呈现静态模糊灰度显示的事件才会被识别。在这项研究中,我们通过研究识别准确性和眼动模式来研究光流和颜色对识别模糊事件的影响。测试了三种颜色显示类型:灰度、原始颜色或重新排列的颜色(原始颜色的 RGB 值被调整)。在每种颜色条件下,参与者在五个实验阶段识别 12 个模糊事件。在前两个阶段,单独呈现静态模糊图像或在连续帧之间连续呈现运动掩模,识别效果很差。在第 3 阶段添加了光流,识别效果相当好。在第 4 和第 5 阶段,去除了运动,但识别仍然很好。因此,光流在其呈现期间和之后改善了事件识别。颜色也提高了性能,参与者识别彩色显示的表现始终优于灰度或重新排列的颜色显示。重要的是,光流和颜色的影响是累加的。最后,在运动和运动后阶段,相当一部分眼睛注视落在强光流区域,这表明即使在光流停止后,参与者仍继续注视光流可用的地方。我们推断,光流指定了模糊图像结构中的深度结构,并从静态模糊图像中提高了识别效果。

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