熟悉的序列比不熟悉的序列处理得更快,即使它们与计数列表不匹配
Declan Devlin1, Korbinian Moeller1,2,3, Iro Xenidou-Dervou1
1Centre for Mathematical Cognition, School of Science, Loughborough University.
Cognitive science
|July 9, 2024
概括
熟悉,而不仅仅是顺序顺序,驱动处理速度. 即使是非连续的序列,如果它们更熟悉,也会被处理得更快,这表明反向距离效应是更广泛的熟悉效应的特定实例.
科学领域:
- 认知心理学 认知心理学
- 人类的记忆和处理能力
背景情况:
- 订单处理通常倾向于连续的序列 (例如1-2-3) 而不是非连续的序列 (例如1-3-5),称为反向距离效应.
- 这种效应通常归因于基于记忆的关联机制,其中熟悉的序列被提取得更快.
- 然而,反向距离效应的不一致存在表明熟悉可能是一个更细微的因素.
研究的目的:
- 调查是否序列熟悉性,而不是仅仅是连续性,是处理速度的主要驱动因素.
- 为了测试这个假设,熟悉的序列被处理得更快,不管它们是连续的还是非连续的.
主要方法:
- 使用比较判断方法来测量成年人的个体序列熟悉度.
- 对各种序列的参与者的处理速度,与他们测量的熟悉度相比进行了分析.
主要成果:
- 虽然并非所有参与者都表现出反向距离效应,但每个参与者都表现出熟悉效应.
- 熟悉效应在组和个人分析中始终强于反向距离效应.
- 这表明熟悉度在订单处理中所扮演的角色比以前所认为的更为重要.
结论:
- 反向距离效应可能不是一个独立的现象,而是更一般的熟悉效应的特定表现.
- 顺序任务的处理速度从根本上受到顺序熟悉的影响,这可能会取代连续性的优势.
- 未来的研究应该在检查序列处理时将熟悉性视为一个关键变量.
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