建模现实世界感知专业知识的动态
Jianhong Shen1, Thomas J Palmeri1
1Department of Psychology, Vanderbilt University.
概括
新手在基本层次上更快地对鸟类进行分类,而专家在基本和附属层次上同样快. 这项研究使用了扩散决策模型来显示专业知识的变化,即我们处理信息的速度有多快,影响分类速度.
科学领域:
- 认知心理学 认知心理学
- 感知专业知识发展 发展感知专业知识
背景情况:
- 新手在基本层次上分类比上级或下级更快.
- 专家们在下属分类和基本分类方面表现出相同的速度.
- 两个假设解释了这一点:"入门水平假设"和"差异化假设".
研究的目的:
- 评估分类速度的入门级和差异化假设.
- 调查感知专业知识如何影响分类过程.
- 通过专业知识的发展,模拟认知表征的变化.
主要方法:
- 扩散决策模型 (DDM) 与准确性和响应时间数据相匹配.
- 在线参与者具有不同水平的观鸟专业知识.
- 参数估计的贝叶斯层次框架.
主要成果:
- 复制了在线分类速度中的"入门级转变".
- 发现"漂移率" (差异化) 和"无决策时间" (入门级) 参数都解释了专业知识差异.
- 随着专业知识的变化,分类速度的变化与表示差异化和处理效率有关.
结论:
- 入门级和差异化机制都会导致与专业知识相关的分类变化.
- 扩散决策模型有效地捕捉了专业知识背后的认知过程.
- 研究结果提供了关于感知学习如何重塑认知表征和决策速度的见解.
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