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虚拟环境中远距离物体的多感觉整合。

Multisensory integration in virtual interactions with distant objects.

机构信息

Department of Psychology, University of Würzburg, Würzburg, Germany.

出版信息

Sci Rep. 2019 Nov 22;9(1):17362. doi: 10.1038/s41598-019-53921-9.

Abstract

Statistically optimal integration of multimodal signals is known to take place in direct interactions with environmental objects. In the present study we tested whether the same mechanism is responsible for perceptual biases observed in a task, in which participants enclose visual objects by manually controlled visual cursors. We manipulated the relative reliability of visual object information and measured the impact of body-related information on object perception as well as the perceptual variability. The results were qualitatively consistent with statistically optimal sensory integration. However, quantitatively, the observed bias and variability measures systematically differed from the model predictions. This outcome indicates a compensatory mechanism similar to the reliability-based weighting of multisensory signals which could underlie action's effects in visual perception reported in diverse context conditions.

摘要

统计最优的多模态信号整合已知发生在与环境物体的直接相互作用中。在本研究中,我们测试了相同的机制是否负责在任务中观察到的感知偏差,其中参与者通过手动控制视觉光标包围视觉对象。我们操纵了视觉对象信息的相对可靠性,并测量了与身体相关的信息对对象感知以及感知可变性的影响。结果与统计最优的感觉整合定性一致。然而,在数量上,观察到的偏差和可变性测量值与模型预测系统地不同。这一结果表明,一种类似于基于可靠性的多感觉信号加权的补偿机制可能是不同背景条件下报告的视觉感知中动作效应的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9177/6874595/4d34c5e81562/41598_2019_53921_Fig1_HTML.jpg

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