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威胁Sim:一个新的刺激数据库,包含威胁和非威胁的图像对,根据相似性进行评分
Andras N Zsido1,2, Michael C Hout3,4, Eben W Daggett3
1Institute of Psychology, University of Pécs, 6. Ifjusag Street, Pécs, Baranya, H 7624, Hungary. zsido.andras@pte.hu.
Behavior research methods
|December 10, 2025
概括
研究人员创建了一个新的威胁和非威胁对象的图像数据集,以研究视觉注意力偏差. 这个数据库绘制了感知相似关系的地图,有助于未来的研究.
科学领域:
- 心理学 心理学 心理学
- 认知科学 认知科学
- 计算机视觉 计算机视觉
背景情况:
- 经过验证的图像集对于心理学研究至关重要.
- 了解对威胁性刺激的视觉注意力偏差需要特定的数据集.
- 现有的数据集缺乏威胁和视觉上相似的对象的多样性.
研究的目的:
- 创建一个新的图像数据库的动态和无生命的物体.
- 包括被认为是威胁的物品和视觉上类似的非威胁对应物品.
- 为了促进对视觉注意力偏差的研究.
主要方法:
- 一项在线调查 (N=77) 确定了威胁对象及其类似的非威胁对应物.
- 编制了32个物体 (8个类别:有威胁/无威胁,有生命/无生命) 的清单.
- 每个物体收集了20张图像 (共640张),使用空间布局对相似性进行了评分 (N=191),并使用多维缩放建模.
主要成果:
- 多维缩放分析生成了动态和无生命物体的相似性图.
- 这些地图在视觉上代表了刺激之间的感知相似关系.
- 数据集包括640个没有版权的,公开共享的图像.
结论:
- 开发的图像集为视觉注意力研究提供了宝贵的资源.
- 这个数据库有助于调查注意力偏差,特别是对威胁性刺激的偏差.
- 这些发现为认知研究的刺激集创建提供了一种新的方法.
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