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通过“飞蓝瓶错觉”的新变体揭示的关于理解诱导运动的新见解和计算模型。

New insights and a computational model for understanding induced motion revealed through novel variants of the Flying Bluebottle Illusion.

作者信息

Mruczek Ryan E B, Caplovitz Gideon P

机构信息

College of the Holy Cross, USA.

University of Nevada, Reno, USA.

出版信息

Iperception. 2025 Jun 17;16(3):20416695251344457. doi: 10.1177/20416695251344457. eCollection 2025 May-Jun.

DOI:10.1177/20416695251344457
PMID:40538449
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12177812/
Abstract

The Flying Bluebottle Illusion is a compelling example of how the perceived trajectory of moving objects can be greatly influenced by other motion sources in the visual scene. In this article, we present a series of simplified variants of the Flying Bluebottle Illusion in which the true motion of a target is a circular orbit around a central point. However, when a similar but offset orbiting motion trajectory is added to a set of surrounding inducers, the perceived trajectory of the target is drastically altered in both extent and direction. In other words, the perceived orbiting motion of the target is "pulled" and distorted by the orbiting motion of the inducers. For simplicity's sake, we refer to the illusory effect revealed by these dueling orbits as the Dueling Orbit Illusion. These simplified variants lend themselves to empirical study with resultant effects that can be readily modeled. Here, we present a series of case examples for how the parameters of the stimuli may be varied to yield predictable effects, describe a straightforward computational model for quantifying the magnitude of the contextual influence, and discuss how the model may be leveraged to gain insight into the phenomenon of induced motion across a range of within and between observer domains.

摘要

“飞蓝瓶错觉”是一个引人注目的例子,它展示了视觉场景中其他运动源如何对移动物体的感知轨迹产生重大影响。在本文中,我们展示了一系列“飞蓝瓶错觉”的简化变体,其中目标的真实运动是围绕中心点的圆形轨道。然而,当一组周围诱导物添加了类似但偏移的轨道运动轨迹时,目标的感知轨迹在范围和方向上都会发生剧烈变化。换句话说,目标的感知轨道运动被诱导物的轨道运动“拉动”并扭曲。为了简单起见,我们将这些相互竞争的轨道所揭示的错觉效应称为“竞争轨道错觉”。这些简化变体便于进行实证研究,其结果效应也易于建模。在此,我们展示了一系列案例示例,说明如何改变刺激参数以产生可预测的效果,描述了一个用于量化情境影响大小的简单计算模型,并讨论了如何利用该模型深入了解一系列观察者内部和观察者之间领域的诱导运动现象。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565f/12177812/c3ba2f3aed28/10.1177_20416695251344457-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565f/12177812/9703fd009eb3/10.1177_20416695251344457-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565f/12177812/c3ba2f3aed28/10.1177_20416695251344457-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565f/12177812/9703fd009eb3/10.1177_20416695251344457-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/565f/12177812/c3ba2f3aed28/10.1177_20416695251344457-fig2.jpg

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本文引用的文献

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