连接效应在列举小数的连接效应
Wei Liu1, Xiaoke Zhao2, Yating Li1
1School of Education, Yunnan Minzu University, Kunming, China.
Attention, perception & psychophysics
|August 5, 2025
概括
连接效应影响数字感知,导致双重任务的低估,而不是单一任务. 小数量的分类仍然是准确的,而估计受到注意力负载下的连接性的影响.
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
- 数字认知 数字认知
背景情况:
- 连接效应描述了将连接的物品视为较少的单位.
- 这种效应与近似数值系统 (ANS) 和中间数值感知有关.
- 通过一个不同的机制,分类精确地列出小数量 (<5).
研究的目的:
- 调查连接效应对小数量计数的影响.
- 为了确定分类是否受到项目连接性的影响.
- 为了比较连接性在单对双列举任务和顺序对同时比较的影响.
主要方法:
- 参与者在单一和双重任务中列举了点,连接方式各不相同.
- 任务包括单次计数,双重计数,顺序比较和同时比较.
- 分析了韦伯分数,以评估不同任务和数量的表现.
主要成果:
- 连接性并没有导致单一编号任务中的低估值,这表明分类没有受到影响.
- 由于连接性,在双重计数任务中发生了显著的低估.
- 与顺序任务相比,同步任务的连接效应更为明显.
- 韦伯分数在同步任务中的小和中等数量之间相关,但不是连续的任务.
结论:
- 分类化 (单个/连续的任务) 对连接效应有很强的抵抗力.
- 估计 (双重/同时执行任务) 被连接性影响,导致低估,特别是在注意力负载下.
- 大致估计依赖于细分的对象,即使是小数量,并且容易受到连接效应的影响.
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