混合视觉和记忆搜索场景和物体,具有可变的视角
Bochao Zou1,2, Zhe Huang3,4, Abla Alaoui-Soce5,6
1School of Computer and Communication Engineering, University of Science and Technology Beijing, China.
Journal of vision
|January 10, 2024
概括
在混合搜索中,响应时间随着内存集大小的对数增加,即使对于复杂的现实世界场景和多个视角. 这表明了对不同视觉搜索任务进行对数记忆搜索的概括性.
科学领域:
- 认知心理学 认知心理学
- 视觉感知 视觉感知 视觉感知
- 人与计算机的交互
背景情况:
- 混合搜索涉及基于记忆线索的视觉显示器中识别目标.
- 之前的研究确定了响应时间和简单目标的内存集大小之间的对数关系.
- 现实世界对象识别通常涉及复杂的场景和各种对象的观点,不像简化的实验条件.
研究的目的:
- 调查混合搜索的原则是否扩展到更生态有效的场景.
- 检查场景复杂性和视角可变性对内存搜索效率的影响.
- 在视觉搜索任务中概括对通过内存进行对数搜索的理解.
主要方法:
- 进行了四次实验,复杂性逐渐增加.
- 实验1:使用场景刺激进行混合搜索.
- 实验2:使用对象的多个视角进行混合搜索.
- 实验3:对观点的受控学习阶段.
- 实验4:对特定观点,可变观点和分类目标的搜索进行比较.
主要成果:
- 在所有实验中,响应时间 (RTs) 随着内存集大小在对数直线上持续增加.
- 搜索难度从特定的观点增加到可变的观点,再到分类目标.
- 混合搜索的基本模式,对数记忆搜索,被复制为场景和视角变化.
结论:
- 这些发现证明了在混合视觉搜索中对数记忆搜索的稳定性和通用性.
- 该研究将混合搜索原则扩展到复杂的现实世界视觉刺激,如场景和多个观点.
- 逻辑内存搜索是视觉搜索的一个基本方面,适用于各种目标复杂性和环境.
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