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动态视觉信息有助于从新颖视角识别物体。

Dynamic visual information facilitates object recognition from novel viewpoints.

作者信息

Teramoto Wataru, Riecke Bernhard E

机构信息

Max Planck Institute for Biological Cybernetics, Germany.

出版信息

J Vis. 2010 Nov 12;10(13):11. doi: 10.1167/10.13.11.

DOI:10.1167/10.13.11
PMID:21075836
Abstract

Normally, people have difficulties recognizing objects from novel as compared to learned views, resulting in increased reaction times and errors. Recent studies showed, however, that this "view-dependency" can be reduced or even completely eliminated when novel views result from observer's movements instead of object movements. This observer movement benefit was previously attributed to extra-retinal (physical motion) cues. In two experiments, we demonstrate that dynamic visual information (that would normally accompany observer's movements) can provide a similar benefit and thus a potential alternative explanation. Participants performed sequential matching tasks for Shepard-Metzler-like objects presented via head-mounted display. As predicted by the literature, object recognition performance improved when view changes (45° or 90°) resulted from active observer movements around the object instead of object movements. Unexpectedly, however, merely providing dynamic visual information depicting the viewpoint change showed an equal benefit, despite the lack of any extra-retinal/physical self-motion cues. Moreover, visually simulated rotations of the table and hidden target object (table movement condition) yielded similar performance benefits as simulated viewpoint changes (scene movement condition). These findings challenge the prevailing notion that extra-retinal (physical motion) cues are required for facilitating object recognition from novel viewpoints, and highlight the importance of dynamic visual cues, which have previously received little attention.

摘要

通常情况下,与从熟悉视角识别物体相比,人们在从新颖视角识别物体时会遇到困难,这会导致反应时间增加和错误增多。然而,最近的研究表明,当新颖视角是由观察者的移动而非物体的移动产生时,这种“视角依赖性”可以减少甚至完全消除。这种观察者移动带来的益处此前被归因于视网膜外(物理运动)线索。在两项实验中,我们证明动态视觉信息(通常会伴随观察者的移动)可以提供类似的益处,因此是一种潜在的替代解释。参与者通过头戴式显示器对呈现的类似谢泼德 - 梅茨勒的物体执行顺序匹配任务。正如文献所预测的那样,当视角变化(45°或90°)是由观察者围绕物体的主动移动而非物体移动产生时,物体识别性能有所提高。然而,出乎意料的是,仅仅提供描绘视角变化的动态视觉信息也显示出同样的益处,尽管缺乏任何视网膜外/物理自我运动线索。此外,对桌子和隐藏目标物体的视觉模拟旋转(桌子移动条件)产生了与模拟视角变化(场景移动条件)类似的性能益处。这些发现挑战了普遍观点,即从新颖视角促进物体识别需要视网膜外(物理运动)线索,并强调了动态视觉线索的重要性,而动态视觉线索此前很少受到关注。

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