雷文的拼图解决方式倾向于语言分析,而不是视觉空间,有利于雷文的类似拼图生成方式
Priyanka Srivastava1, Saskia Jaarsveld2, Kishan Sangani1
1Perception and Cognition Lab, Cognitive Science Center, Kohli Research Center on Intelligent Systems, Hyderabad, India.
Frontiers in psychology
|December 4, 2023
概括
解决雷文的高级渐进矩阵 (APM) 涉及视觉空间和语言分析代码. 与视觉空间拼图相比,需要更复杂的策略的语言分析拼图提高了随后的创造性推理任务性能.
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.
背景情况:
- 雷文的高级渐进矩阵 (APM) 用于评估流体智能.
- 人们认为APM拼图涉及不同的表示代码:视觉空间和语言分析.
- 了解这些代码对于认知研究至关重要,特别是在创造性推理方面.
研究的目的:
- 通过使用眼睛跟踪来研究在解决视觉空间与语言分析APM难题时使用的不同认知策略.
- 检查如何解决不同的APM拼图类型影响后续创意推理任务 (CRT) 的表现.
主要方法:
- 眼睛跟踪被用来监控参与者的凝视模式,而他们解决APM题.
- 参与者完成了视觉空间和语言分析APM题.
- 在完成拼图后,评估了创造性推理任务 (CRT) 的表现.
主要成果:
- 语言分析APM拼图需要更长的时间来完成,并显示了更多的冲击活动,表明更多地使用响应消除策略.
- 与会者在创造性推理任务中获得更高的分数,当它跟随语言分析APM题的完成时,与视觉空间题相比.
- 这些发现表明,在APM拼图解决过程中参与的认知策略会影响随后的创造性表现.
结论:
- 这项研究强调了视觉空间和语言分析APM题的不同认知需求.
- 解决语言分析APM难题可能会促进对创造性推理有益的认知过程.
- 这些见解有助于更深入地了解APM的多维性质及其与创造性认知的关系.
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