Suppr超能文献

快于排斥速度:视觉搜索多个目标时的物体识别过程。

Faster than the speed of rejection: Object identification processes during visual search for multiple targets.

作者信息

Godwin Hayward J, Walenchok Stephen C, Houpt Joseph W, Hout Michael C, Goldinger Stephen D

机构信息

School of Psychology, University of Southampton.

Department of Psychology, Arizona State University.

出版信息

J Exp Psychol Hum Percept Perform. 2015 Aug;41(4):1007-20. doi: 10.1037/xhp0000036. Epub 2015 May 4.

Abstract

When engaged in a visual search for two targets, participants are slower and less accurate in their responses, relative to their performance when searching for singular targets. Previous work on this "dual-target cost" has primarily focused on the breakdown of attentional guidance when looking for two items. Here, we investigated how object identification processes are affected by dual-target search. Our goal was to chart the speed at which distractors could be rejected, to assess whether dual-target search impairs object identification. To do so, we examined the capacity coefficient, which measures the speed at which decisions can be made, and provides a baseline of parallel performance against which to compare. We found that participants could search at or above this baseline, suggesting that dual-target search does not impair object identification abilities. We also found substantial differences in performance when participants were asked to search for simple versus complex images. Somewhat paradoxically, participants were able to reject complex images more rapidly than simple images. We suggest that this reflects the greater number of features that can be used to identify complex images, a finding that has important consequences for understanding object identification in visual search more generally.

摘要

在进行对两个目标的视觉搜索时,与搜索单个目标时的表现相比,参与者的反应更慢且准确性更低。此前关于这种“双目标代价”的研究主要集中在寻找两个物品时注意力引导的分解情况。在此,我们研究了双目标搜索如何影响物体识别过程。我们的目标是确定能够排除干扰项的速度,以评估双目标搜索是否会损害物体识别能力。为此,我们考察了容量系数,它衡量做出决策的速度,并提供了一个平行表现的基线以供比较。我们发现参与者能够以该基线速度或高于该基线速度进行搜索,这表明双目标搜索不会损害物体识别能力。我们还发现,当要求参与者搜索简单图像与复杂图像时,表现存在显著差异。有点自相矛盾的是,参与者能够比简单图像更快地排除复杂图像。我们认为,这反映了可用于识别复杂图像的特征数量更多,这一发现对于更全面地理解视觉搜索中的物体识别具有重要意义。

相似文献

2
The guidance of visual search by shape features and shape configurations.形状特征和形状配置对视觉搜索的引导作用。
J Exp Psychol Hum Percept Perform. 2018 Jul;44(7):1072-1085. doi: 10.1037/xhp0000514. Epub 2018 Mar 1.
4
Rapid guidance of visual search by object categories.按物体类别进行视觉搜索的快速引导
J Exp Psychol Hum Percept Perform. 2014 Feb;40(1):50-60. doi: 10.1037/a0033228. Epub 2013 Jun 24.
5
Dual-target cost in visual search for multiple unfamiliar faces.视觉搜索多个陌生面孔时的双目标代价
J Exp Psychol Hum Percept Perform. 2017 Aug;43(8):1504-1519. doi: 10.1037/xhp0000388. Epub 2017 Apr 3.
6
Adding depth to overlapping displays can improve visual search performance.增加重叠显示的深度可以提高视觉搜索性能。
J Exp Psychol Hum Percept Perform. 2017 Aug;43(8):1532-1549. doi: 10.1037/xhp0000353. Epub 2017 Apr 6.
7
Visual attention is required for multiple object tracking.多目标跟踪需要视觉注意力。
J Exp Psychol Hum Percept Perform. 2016 Dec;42(12):2103-2114. doi: 10.1037/xhp0000262.
10

引用本文的文献

本文引用的文献

5
A new perspective on visual word processing efficiency.视觉单词处理效率的新视角。
Acta Psychol (Amst). 2014 Jan;145:118-27. doi: 10.1016/j.actpsy.2013.10.013. Epub 2013 Dec 13.
6
Systems factorial technology with R.系统因子技术与 R.
Behav Res Methods. 2014 Jun;46(2):307-30. doi: 10.3758/s13428-013-0377-3.
10
Statistical measures for workload capacity analysis.工作量能力分析的统计方法。
J Math Psychol. 2012 Oct 1;56(5):341-355. doi: 10.1016/j.jmp.2012.05.004. Epub 2012 Jun 20.

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