• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

寻找意义:局部场景语义在场景自然视觉搜索中引导注意力。

Searching for meaning: Local scene semantics guide attention during natural visual search in scenes.

机构信息

Center for Mind and Brain, University of California, Davis, Davis, CA, USA.

Department of Psychology, University of California, Davis, Davis, CA, USA.

出版信息

Q J Exp Psychol (Hove). 2023 Mar;76(3):632-648. doi: 10.1177/17470218221101334. Epub 2022 Jun 8.

DOI:10.1177/17470218221101334
PMID:35510885
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11132926/
Abstract

Models of visual search in scenes include image salience as a source of attentional guidance. However, because scene meaning is correlated with image salience, it could be that the salience predictor in these models is driven by meaning. To test this proposal, we generated meaning maps that represented the spatial distribution of semantic informativeness in scenes, and salience maps which represented the spatial distribution of conspicuous image features and tested their influence on fixation densities from two object search tasks in real-world scenes. The results showed that meaning accounted for significantly greater variance in fixation densities than image salience, both overall and in early attention across both studies. Here, meaning explained 58% and 63% of the theoretical ceiling of variance in attention across both studies, respectively. Furthermore, both studies demonstrated that fast initial saccades were not more likely to be directed to higher salience regions than slower initial saccades, and initial saccades of all latencies were directed to regions containing higher meaning than salience. Together, these results demonstrated that even though meaning was task-neutral, the visual system still selected meaningful over salient scene regions for attention during search.

摘要

场景中的视觉搜索模型将图像显著度作为注意力引导的来源。然而,由于场景的意义与图像显著度相关,因此这些模型中的显著度预测器可能是由意义驱动的。为了验证这一假设,我们生成了代表场景中语义信息量空间分布的意义图,以及代表显著图像特征空间分布的显著图,并在两个真实场景中的物体搜索任务中测试了它们对注视密度的影响。结果表明,意义在注视密度上的解释程度明显高于图像显著度,无论是在两项研究的整体水平上,还是在早期注意力水平上都是如此。在这里,意义分别解释了注意力理论方差上限的 58%和 63%。此外,两项研究都表明,快速的初始眼跳并不比较慢的初始眼跳更有可能指向更高显著度的区域,而且所有潜伏期的初始眼跳都指向包含更高意义的区域,而不是更高显著度的区域。总之,这些结果表明,即使意义是任务中性的,视觉系统在搜索过程中仍然会选择有意义的场景区域来注意。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/ac9f489693e6/nihms-1992748-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/32ae51c0eae3/nihms-1992748-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/a9d83188847f/nihms-1992748-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/0304812639a3/nihms-1992748-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/4ef7bcacd8d7/nihms-1992748-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/0ca8ae0388d3/nihms-1992748-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/bc5bbd51cccd/nihms-1992748-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/ac9f489693e6/nihms-1992748-f0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/32ae51c0eae3/nihms-1992748-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/a9d83188847f/nihms-1992748-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/0304812639a3/nihms-1992748-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/4ef7bcacd8d7/nihms-1992748-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/0ca8ae0388d3/nihms-1992748-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/bc5bbd51cccd/nihms-1992748-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b626/11132926/ac9f489693e6/nihms-1992748-f0007.jpg

相似文献

1
Searching for meaning: Local scene semantics guide attention during natural visual search in scenes.寻找意义:局部场景语义在场景自然视觉搜索中引导注意力。
Q J Exp Psychol (Hove). 2023 Mar;76(3):632-648. doi: 10.1177/17470218221101334. Epub 2022 Jun 8.
2
Meaning guides attention during scene viewing, even when it is irrelevant.意义在场景观看过程中引导注意力,即使它并不相关。
Atten Percept Psychophys. 2019 Jan;81(1):20-34. doi: 10.3758/s13414-018-1607-7.
3
Meaning guides attention in real-world scene images: Evidence from eye movements and meaning maps.意义在真实场景图像中引导注意力:来自眼动和意义地图的证据。
J Vis. 2018 Jun 1;18(6):10. doi: 10.1167/18.6.10.
4
Meaning Guides Attention during Real-World Scene Description.意义引导在现实场景描述中的注意力。
Sci Rep. 2018 Sep 10;8(1):13504. doi: 10.1038/s41598-018-31894-5.
5
When scenes speak louder than words: Verbal encoding does not mediate the relationship between scene meaning and visual attention.当场景比言语更有说服力时:言语编码并不介导场景意义和视觉注意之间的关系。
Mem Cognit. 2020 Oct;48(7):1181-1195. doi: 10.3758/s13421-020-01050-4.
6
The role of meaning in attentional guidance during free viewing of real-world scenes.意义在自由观看真实世界场景时的注意力引导中的作用。
Acta Psychol (Amst). 2019 Jul;198:102889. doi: 10.1016/j.actpsy.2019.102889. Epub 2019 Jul 11.
7
Scene semantics involuntarily guide attention during visual search.场景语义在视觉搜索中无意识地引导注意力。
Psychon Bull Rev. 2019 Oct;26(5):1683-1689. doi: 10.3758/s13423-019-01642-5.
8
Center bias outperforms image salience but not semantics in accounting for attention during scene viewing.在解释场景观看过程中的注意力方面,中心偏差比图像显著性表现更好,但在语义方面并非如此。
Atten Percept Psychophys. 2020 Jun;82(3):985-994. doi: 10.3758/s13414-019-01849-7.
9
Scene meaningfulness guides eye movements even during mind-wandering.场景意义即使在走神时也能引导眼球运动。
Atten Percept Psychophys. 2022 May;84(4):1130-1150. doi: 10.3758/s13414-021-02370-6. Epub 2021 Sep 22.
10
Meaning and Attentional Guidance in Scenes: A Review of the Meaning Map Approach.场景中的意义与注意力引导:意义地图方法综述
Vision (Basel). 2019 May 10;3(2):19. doi: 10.3390/vision3020019.

引用本文的文献

1
Integrating Bayesian and neural networks models for eye movement prediction in hybrid search.整合贝叶斯模型和神经网络模型用于混合搜索中的眼动预测。
Sci Rep. 2025 May 12;15(1):16482. doi: 10.1038/s41598-025-00272-3.
2
The Representation of Orientation Semantics in Visual Sensory Memory.视觉感觉记忆中方向语义的表征
Behav Sci (Basel). 2024 Dec 24;15(1):1. doi: 10.3390/bs15010001.
3
The role of local meaning in infants' fixations of natural scenes.当地意义在婴儿对自然场景的注视中的作用。

本文引用的文献

1
Five Factors that Guide Attention in Visual Search.视觉搜索中引导注意力的五个因素。
Nat Hum Behav. 2017 Mar;1(3). doi: 10.1038/s41562-017-0058. Epub 2017 Mar 8.
2
Meaning maps detect the removal of local semantic scene content but deep saliency models do not.意义图谱能检测到局部语义场景内容的移除,而深度显著模型则不能。
Atten Percept Psychophys. 2022 Apr;84(3):647-654. doi: 10.3758/s13414-021-02395-x. Epub 2022 Feb 9.
3
Rapid Extraction of the Spatial Distribution of Physical Saliency and Semantic Informativeness from Natural Scenes in the Human Brain.
Infancy. 2024 Mar-Apr;29(2):284-298. doi: 10.1111/infa.12582. Epub 2024 Jan 6.
快速提取人类大脑中自然场景的物理显著性和语义信息量的空间分布。
J Neurosci. 2022 Jan 5;42(1):97-108. doi: 10.1523/JNEUROSCI.0602-21.2021. Epub 2021 Nov 8.
4
Meaning and expected surfaces combine to guide attention during visual search in scenes.意义和预期表面结合起来指导场景中视觉搜索时的注意力。
J Vis. 2021 Oct 5;21(11):1. doi: 10.1167/jov.21.11.1.
5
Deep saliency models learn low-, mid-, and high-level features to predict scene attention.深度显著模型学习低、中、高级特征来预测场景注意力。
Sci Rep. 2021 Sep 16;11(1):18434. doi: 10.1038/s41598-021-97879-z.
6
Predicting Goal-directed Attention Control Using Inverse-Reinforcement Learning.使用逆强化学习预测目标导向的注意力控制
Neuron Behav Data Anal Theory. 2021;2021. doi: 10.51628/001c.22322. Epub 2021 Apr 20.
7
The effect of target salience and size in visual search within naturalistic scenes under degraded vision.在低能见度自然场景视觉搜索中目标显著性和大小的影响。
J Vis. 2021 Apr 1;21(4):2. doi: 10.1167/jov.21.4.2.
8
Salience-based object prioritization during active viewing of naturalistic scenes in young and older adults.在年轻人和老年人主动观看自然场景时,基于显著度的目标优先级排序。
Sci Rep. 2020 Dec 16;10(1):22057. doi: 10.1038/s41598-020-78203-7.
9
Center Bias Does Not Account for the Advantage of Meaning Over Salience in Attentional Guidance During Scene Viewing.在场景观看过程中,中心偏差并不能解释意义在注意引导方面相对于显著性的优势。
Front Psychol. 2020 Jul 28;11:1877. doi: 10.3389/fpsyg.2020.01877. eCollection 2020.
10
When scenes speak louder than words: Verbal encoding does not mediate the relationship between scene meaning and visual attention.当场景比言语更有说服力时:言语编码并不介导场景意义和视觉注意之间的关系。
Mem Cognit. 2020 Oct;48(7):1181-1195. doi: 10.3758/s13421-020-01050-4.