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基于眼睛跟踪的隐藏马尔科夫建模,用于揭示项目内认知策略切换

Zhimou Wang¹, Peida Zhan²

¹School of Psychology, Zhejiang Normal University, Room 722, Building 17, No. 688, Yingbing Road, Jinhua, China.

Behavior research methods

|May 19, 2025

概括

研究人员开发了一种新的眼睛跟踪方法,在解决问题过程中动态识别项目内认知策略切换 (CSS). 这揭示了人们如何在一个问题中切换策略,为认知过程提供了更深入的见解.

科学领域:

认知心理学认知心理学
心理测量心理测量心理测量
神经科学是一个神经科学.

背景情况:

了解认知策略是先进问题解决研究的关键.
现有的方法主要捕捉项目间的认知策略切换 (CSS),忽视项目内部的动态.
目前缺少对项目内CSS的动态识别.

研究的目的:

引入一种用于动态识别和揭示项目内认知策略切换 (CSS) 的新方法.
用眼睛跟踪数据和隐藏的马尔科夫建模来量化项目内CSS.
分析项目内CSS与解决问题的性能之间的关系.

主要方法:

引入了"眼动片段"的概念,作为项目内CSS分析的基本单元.
开发了一种新的眼睛跟踪过程测量量,量化了被查看的替代品的序列长度.
将隐藏的马尔科夫建模应用于矩阵推理测试中的眼睛跟踪数据.

主要成果:

确定了两个主要策略:建设性匹配和响应消除.
发现从建设性匹配切换到响应消除的概率很高,但不是反过来.
更困难的项目和频繁的策略切换与减少的计划时间,增加的总响应时间和更多不正确的答案相关.

结论:

提出的眼睛跟踪方法有效地识别了项目内认知策略及其在矩阵推理中的切换.
在项内CSS模式在测试中各不相同,并与智能级别和总测试时间相关联.
这种方法为复杂问题解决过程中认知策略的使用提供了一个动态的窗口.

关键词:

认知策略是一种认知策略.眼球运动眼球运动隐藏的马尔科夫模型矩阵推理是一种矩阵推理.战略转换战略转换

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