深度距离:在横向和半径维度中的显式和隐式数值距离的比较
Arianna Felisatti1, Mariagrazia Ranzini2, Samuel Shaki3
1Department of Psychology, University of Potsdam.
Journal of experimental psychology. General
|February 1, 2024
概括
这项研究表明,明确分类数值距离,与隐性比较不同,可以提高近距离和远距离数的性能. 这突出了任务评估如何影响数值认知和心理数值表示.
科学领域:
- 认知心理学 认知心理学
- 神经科学是一个神经科学.
- 数字认知 数字认知
背景情况:
- 数字大小比较对于日常运作至关重要.
- 数字处理中的距离效应 (DE) 显示了数字距离较远的数字表现更好.
- 之前的DE研究依赖于隐性评估,数字距离作为次要任务属性.
研究的目的:
- 调查比较距离效应 (DE) 的显式与隐式评估是否对数值认知有不同的影响.
- 为明确的DE评估引入和验证一个新的距离分类任务.
- 探索数字处理中的物理和表示距离之间的关联.
主要方法:
- 对93名健康成年人进行了两项实验,使用距离分类任务.
- 参与者明确地将数字分类为距离参考点近或远.
- 操纵响应按布局 (水平与辐射) 来检查物理-表示距离对应.
主要成果:
- 距离分类对最近和最远的数字都有优势,与大小分类不同.
- 实验2证明了数字接近/远的数字的更快的分类与相应的辐射响应按.
- 研究结果表明,在数值认知中,物理距离和表示距离之间存在辐射对应.
结论:
- 显式评估距离效应 (DE) 与隐式方法相比,揭示了不同的认知过程.
- 距离分类任务为数字的心理表现提供了新的见解.
- 结果表明物理响应安排和抽象的数值距离之间的空间映射.
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