预测真实世界环境中的注意力分配:研究跨模态语义引导的必要性

IF 3.2 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL Wiley Interdisciplinary Reviews-Cognitive Science Pub Date : 2024-05-01 Epub Date: 2024-01-19 DOI:10.1002/wcs.1675
Kira Wegner-Clemens, George L Malcolm, Sarah Shomstein
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引用次数: 0

摘要

现实世界的环境是多感官、有意义和高度复杂的。要想高效地解析这些环境,就必须在各种模态中或跨模态地选择这些信息的子集。然而,大部分注意力研究都是在感官模式内进行的,尤其侧重于视觉。视觉注意力研究取得了长足的进步,一个多世纪以来的研究有条不紊地确定了使我们能够选择关键视觉信息的内在机制。空间注意力、对特征的注意力和基于物体的注意力都得到了广泛的研究。最近,研究发现语义(意义)是在真实世界场景中分配注意力的关键因素,物品或环境的意义会影响视觉注意力的选择。然而,要全面了解语义信息如何调节现实世界的注意力,需要研究的不仅仅是孤立的视觉。世界提供了所有感官的语义信息,但这些额外的信息也带来了更大的复杂性。在此,我们总结了视觉注意(包括基于语义的视觉注意)、跨模态注意,并论证了研究跨模态语义引导注意的重要性。本文归类于心理学 > 注意力心理学 > 知觉与心理物理学。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Predicting attentional allocation in real-world environments: The need to investigate crossmodal semantic guidance.

Real-world environments are multisensory, meaningful, and highly complex. To parse these environments in a highly efficient manner, a subset of this information must be selected both within and across modalities. However, the bulk of attention research has been conducted within sensory modalities, with a particular focus on vision. Visual attention research has made great strides, with over a century of research methodically identifying the underlying mechanisms that allow us to select critical visual information. Spatial attention, attention to features, and object-based attention have all been studied extensively. More recently, research has established semantics (meaning) as a key component to allocating attention in real-world scenes, with the meaning of an item or environment affecting visual attentional selection. However, a full understanding of how semantic information modulates real-world attention requires studying more than vision in isolation. The world provides semantic information across all senses, but with this extra information comes greater complexity. Here, we summarize visual attention (including semantic-based visual attention), crossmodal attention, and argue for the importance of studying crossmodal semantic guidance of attention. This article is categorized under: Psychology > Attention Psychology > Perception and Psychophysics.

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来源期刊
CiteScore
7.30
自引率
7.70%
发文量
50
期刊最新文献
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