在文字图像范式中的关联和分类初始化:扩散模型分析分析
Shanqing Gao1, Ines Marberg2, Alexander Berger3
1Department of Psychology, Heidelberg University, Heidelberg, Germany. shanqing.gao@psychologie.uni-heidelberg.de.
Psychological research
|February 6, 2026
概括
图片分类中的原始化效应基于单词关联与类别一致性而有所不同. 关联式启动加速视觉处理,而分类式启动则有助于决策,影响响应时间和错误.
科学领域:
- 认知心理学 认知心理学
- 心理语言学 心理语言学
- 计算神经科学是一种神经科学.
背景情况:
- 语言线索被自动处理,影响后续的感知.
- 了解不同类型的词质数如何影响认知任务至关重要.
- 语义启动是认知科学研究中的一个关键现象.
研究的目的:
- 调查关联和分类一致的素词如何影响语义图片分类任务.
- 区分潜在的认知过程的关联与分类初始化.
- 应用层次扩散模型来分析潜在的认知机制.
主要方法:
- 参与者将目标图片 (活体/非活体) 分类为类别,前面是操纵的原始单词.
- 主词在关联和语义类别与目标图片的一致性方面有所不同.
- 使用层次扩散模型分析响应时间 (RT) 和错误率 (ER).
主要成果:
- 类别一致性显著影响了RT和ER.
- 关联性原始化主要影响了RT,而不是ER.
- 扩散模型分析显示,关联性原始化影响了非决策时间 (视觉语义处理先驱),而分类原始化影响了漂移率 (决策促进).
结论:
- 图像分类中的原始化效应与单词原始化相比,涉及不同的认知过程.
- 关联式和分类式初始化对语义图片分类的速度和准确性有不同的影响.
- 这些发现有助于启动和认知处理的理论模型.
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