决策和学习变量的表达与决策行动相关的运动模式中的表达
Ida Selbing1,2, Joshua Skewes3,4
1Division of Psychology, Karolinska Institutet, Nobels väg 9, Solna, Stockholm, Sweden. idaselbing@gmail.com.
Experimental brain research
|March 29, 2024
概括
决策过程中的运动模式揭示了对认知过程的洞察力. 在概率任务中对选择的鼠标追踪分析表明了决策变量和学习如何影响运动,为各种研究领域提供了新的视角.
科学领域:
- 认知科学 认知科学
- 神经科学是一个神经科学.
- 人与计算机的交互
背景情况:
- 决策是复杂的,经常与身体运动交织在一起.
- 了解认知过程与运动行为之间的联系至关重要.
研究的目的:
- 研究决策/学习概念与运动路径之间的相关性.
- 探索运动如何反映在选择期间和之后的认知状态.
主要方法:
- 利用鼠标跟踪记录在重复的概率两种选择任务中的动作.
- 采用贝叶斯推理来建模参与者决策并计算相关变量.
- 分析运动数据与决策和学习变量之间的相关性.
主要成果:
- 决策过程中的移动,包括时间,暂停和路径偏差,受到信心等决策变量的影响.
- 决策后的运动显示了学习变量的影响,特别是在时间和速度方面.
- 鼠标跟踪有效地捕捉了决策的微妙方面,反映在运动中.
结论:
- 与决策相关的运动为潜在的认知过程提供了有价值的见解.
- 这些发现对理解社会学习,实验方法和人机交互有意义.
- 运动分析为决策和学习提供了一个非侵入性的窗口.
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