调查流任务中的类别转换和相互响应时间
Corey M Magaldino1, Eric L Amazeen2
1Department of Psychology, Arizona State University, Tempe, AZ, USA. cmagaldi@asu.edu.
Memory & cognition
|January 28, 2026
概括
语义流性任务揭示了记忆搜索中的重尾分布,类似于自然食模式. 最长的检索时间发生在类别过渡后,表明短暂的调整期.
科学领域:
- 认知心理学 认知心理学
- 计算神经科学是一种神经科学.
- 行为经济学是一种行为经济学.
背景情况:
- 语义流任务涉及从类别中快速回忆项目.
- 这些任务表现出重尾互响时间 (IRT) 分布,反映了自然食行为.
- 该研究调查了扩展的IRT是否与类别转换有关.
研究的目的:
- 为了确定语义流性任务中的长间响应时间 (IRTs) 是否特别发生在类别过渡时.
- 模拟IRT的分布,并确定与语义或基于字母的类别之间的切换相关的模式.
- 探索记忆检索动态与最佳食原则之间的关系.
主要方法:
- 三项实验使用了基于语义和字母的流利性任务,范围不同,类别不同.
- 间响应时间 (IRT) 是使用正常,逻辑正常和强度定律分布建模的.
- 通过行为评级和算法相似度衡量,确定了类别过渡.
主要成果:
- 逻辑正常分布在组和个人层面上为IRT提供了最适合的方法,证实了重尾记忆搜索.
- 观察到最长的IRT是在类别转换后立即观察到的,而不是在转换期间.
- 这表明,当转移到一个新的项目集群时,会有一个简短的认知调整期.
结论:
- 记忆检索过程表现出与最佳食理论相一致的重尾分布.
- 这些发现突出了空间,语义和抽象信息检索的共享动态.
- 过渡后最长的检索延迟表明了内存搜索中的适应性探索阶段.
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