• 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

低目标-分心物辨别力视觉搜索中的目标模板具有更高的分辨率,但它们提供的优势是短暂的。

Target templates in low target-distractor discriminability visual search have higher resolution, but the advantage they provide is short-lived.

机构信息

Department of Psychology, University of California, San Diego, California 92093-0109, USA.

出版信息

Atten Percept Psychophys. 2021 May;83(4):1435-1454. doi: 10.3758/s13414-020-02213-w. Epub 2021 Jan 6.

DOI:10.3758/s13414-020-02213-w
PMID:33409902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7787128/
Abstract

When you search repeatedly for a set of items among very similar distractors, does that make you more efficient in locating the targets? To address this, we had observers search for two categories of targets among the same set of distractors across trials. Visual and conceptual similarity of the stimuli were validated with a multidimensional scaling analysis, and separately using a deep neural network model. After a few blocks of visual search trials, the distractor set was replaced. In three experiments, we manipulated the level of discriminability between the targets and distractors before and after the distractors were replaced. Our results suggest that in the presence of repeated distractors, observers generally become more efficient. However, the difficulty of the search task does impact how efficient people are when the distractor set is replaced. Specifically, when the training is easy, people are more impaired in a difficult transfer test. We attribute this effect to the precision of the target template generated during training. In particular, a coarse target template is created when the target and distractors are easy to discriminate. These coarse target templates do not transfer well in a context with new distractors. This suggests that learning with more distinct targets and distractors can result in lower performance when context changes, but observers recover from this effect quickly (within a block of search trials).

摘要

当你在非常相似的干扰项中反复搜索一组项目时,这是否会让你更有效地找到目标?为了解决这个问题,我们让观察者在不同的试验中在同一组干扰项中搜索两类目标。通过多维尺度分析和深度神经网络模型分别验证了刺激的视觉和概念相似性。在几轮视觉搜索试验后,更换干扰项集。在三个实验中,我们在更换干扰项之前和之后操纵目标和干扰项之间的可辨别性水平。我们的结果表明,在存在重复干扰项的情况下,观察者通常会变得更有效率。然而,搜索任务的难度确实会影响当干扰项集被替换时人们的效率。具体来说,当训练容易时,人们在困难的转移测试中受到的影响更大。我们将这种效果归因于训练过程中生成的目标模板的精度。特别是,当目标和干扰项容易区分时,会创建一个粗略的目标模板。这些粗略的目标模板在有新干扰项的情况下不能很好地转移。这表明,使用更明显的目标和干扰项进行学习可能会导致上下文变化时的表现下降,但观察者可以迅速从中恢复(在一轮搜索试验内)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/25806064e9a3/13414_2020_2213_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/cb002655fb92/13414_2020_2213_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/c64b54c06223/13414_2020_2213_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/63380e1f2a0a/13414_2020_2213_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/8ec904dbfe8a/13414_2020_2213_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/220170e9b8b5/13414_2020_2213_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/e636100a80b0/13414_2020_2213_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/f8c646defcfd/13414_2020_2213_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/25806064e9a3/13414_2020_2213_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/cb002655fb92/13414_2020_2213_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/c64b54c06223/13414_2020_2213_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/63380e1f2a0a/13414_2020_2213_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/8ec904dbfe8a/13414_2020_2213_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/220170e9b8b5/13414_2020_2213_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/e636100a80b0/13414_2020_2213_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/f8c646defcfd/13414_2020_2213_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3aa8/7787128/25806064e9a3/13414_2020_2213_Fig8_HTML.jpg

相似文献

1
Target templates in low target-distractor discriminability visual search have higher resolution, but the advantage they provide is short-lived.低目标-分心物辨别力视觉搜索中的目标模板具有更高的分辨率,但它们提供的优势是短暂的。
Atten Percept Psychophys. 2021 May;83(4):1435-1454. doi: 10.3758/s13414-020-02213-w. Epub 2021 Jan 6.
2
Learned suppression for multiple distractors in visual search.视觉搜索中对多个干扰项的习得性抑制。
J Exp Psychol Hum Percept Perform. 2018 Jul;44(7):1128-1141. doi: 10.1037/xhp0000521. Epub 2018 May 7.
3
Activated long-term memory and visual working memory during hybrid visual search: Effects on target memory search and distractor memory.混合视觉搜索过程中激活的长时记忆和视觉工作记忆:对目标记忆搜索和分心物记忆的影响。
Mem Cognit. 2024 Nov;52(8):2156-2171. doi: 10.3758/s13421-024-01556-1. Epub 2024 Mar 25.
4
How does searching for faces among similar-looking distractors affect distractor memory?在相似的干扰物中搜索人脸会如何影响干扰物记忆?
Mem Cognit. 2023 Aug;51(6):1404-1415. doi: 10.3758/s13421-023-01405-7. Epub 2023 Feb 27.
5
Task-adaptive changes to the target template in response to distractor context: Separability versus similarity.任务自适应地改变目标模板以响应干扰上下文:可分离性与相似性。
J Exp Psychol Gen. 2024 Feb;153(2):564-572. doi: 10.1037/xge0001507. Epub 2023 Nov 2.
6
Visual search asymmetry depends on target-distractor feature similarity: Is the asymmetry simply a result of distractor rejection speed?视觉搜索不对称性取决于目标-干扰项特征相似性:这种不对称性仅仅是干扰项排除速度的结果吗?
Atten Percept Psychophys. 2020 Jan;82(1):80-97. doi: 10.3758/s13414-019-01818-0.
7
The depth of distractor processing in search with clutter.在有干扰物的搜索中干扰物加工的深度
Perception. 2007;36(6):821-9. doi: 10.1068/p5748.
8
Learning to suppress salient distractors in the target dimension: Region-based inhibition is persistent and transfers to distractors in a nontarget dimension.学习抑制目标维度中的显著干扰物:基于区域的抑制是持久的,并转移到非目标维度中的干扰物。
J Exp Psychol Learn Mem Cogn. 2019 Nov;45(11):2080-2097. doi: 10.1037/xlm0000691. Epub 2019 Jan 28.
9
Statistical learning of distractor co-occurrences facilitates visual search.注意项共同出现的统计学习有助于视觉搜索。
J Vis. 2022 Sep 2;22(10):2. doi: 10.1167/jov.22.10.2.
10
Learning What Is Irrelevant or Relevant: Expectations Facilitate Distractor Inhibition and Target Facilitation through Distinct Neural Mechanisms.学习无关或相关信息:期望通过不同的神经机制促进分心物抑制和目标促进。
J Neurosci. 2019 Aug 28;39(35):6953-6967. doi: 10.1523/JNEUROSCI.0593-19.2019. Epub 2019 Jul 3.

引用本文的文献

1
Task-adaptive changes to the target template in response to distractor context: Separability versus similarity.任务自适应地改变目标模板以响应干扰上下文:可分离性与相似性。
J Exp Psychol Gen. 2024 Feb;153(2):564-572. doi: 10.1037/xge0001507. Epub 2023 Nov 2.
2
Prefrontal Control of Proactive and Reactive Mechanisms of Visual Suppression.前额叶对视觉抑制的主动性和反应性机制的控制。
Cereb Cortex. 2022 Jun 16;32(13):2745-2761. doi: 10.1093/cercor/bhab378.

本文引用的文献

1
Comparing memory capacity across stimuli requires maximally dissimilar foils: Using deep convolutional neural networks to understand visual working memory capacity for real-world objects.比较不同刺激物的记忆容量需要最大限度地使用不相似的干扰项:使用深度卷积神经网络理解现实世界物体的视觉工作记忆容量。
Mem Cognit. 2024 Apr;52(3):595-609. doi: 10.3758/s13421-023-01485-5. Epub 2023 Nov 16.
2
Template-to-distractor distinctiveness regulates visual search efficiency.模板-分心物独特性调节视觉搜索效率。
Curr Opin Psychol. 2019 Oct;29:119-125. doi: 10.1016/j.copsyc.2019.01.003. Epub 2019 Jan 11.
3
The attentional template is shifted and asymmetrically sharpened by distractor context.
注意力模板会因干扰物背景而发生偏移并被不对称地锐化。
J Exp Psychol Hum Percept Perform. 2019 Mar;45(3):336-353. doi: 10.1037/xhp0000609. Epub 2019 Feb 11.
4
Evaluating (and Improving) the Correspondence Between Deep Neural Networks and Human Representations.评估(和改进)深度神经网络与人的表示之间的对应关系。
Cogn Sci. 2018 Nov;42(8):2648-2669. doi: 10.1111/cogs.12670. Epub 2018 Sep 3.
5
Learned suppression for multiple distractors in visual search.视觉搜索中对多个干扰项的习得性抑制。
J Exp Psychol Hum Percept Perform. 2018 Jul;44(7):1128-1141. doi: 10.1037/xhp0000521. Epub 2018 May 7.
6
Visual search with varying versus consistent attentional templates: Effects on target template establishment, comparison, and guidance.使用变化与一致的注意力模板进行视觉搜索:对目标模板建立、比较和引导的影响。
J Exp Psychol Hum Percept Perform. 2018 Jul;44(7):1086-1102. doi: 10.1037/xhp0000520. Epub 2018 Apr 5.
7
Deep Convolutional Neural Networks Outperform Feature-Based But Not Categorical Models in Explaining Object Similarity Judgments.在解释物体相似性判断方面,深度卷积神经网络的表现优于基于特征的模型,但不优于分类模型。
Front Psychol. 2017 Oct 9;8:1726. doi: 10.3389/fpsyg.2017.01726. eCollection 2017.
8
Mid-level perceptual features contain early cues to animacy.中级感知特征包含有关生命性的早期线索。
J Vis. 2017 Jun 1;17(6):20. doi: 10.1167/17.6.20.
9
Distractor probability changes the shape of the attentional template.干扰物概率会改变注意力模板的形状。
J Exp Psychol Hum Percept Perform. 2017 Dec;43(12):1993-2007. doi: 10.1037/xhp0000430. Epub 2017 Apr 20.
10
Rapid learning of visual ensembles.视觉集合的快速学习。
J Vis. 2017 Feb 1;17(2):21. doi: 10.1167/17.2.21.