失调反映了响应选项之间的竞争:来自漂移扩散分析的证据
Aurélie Pistono1,2, Mehdi Senoussi3,4, Robert J Hartsuiker3
1Department of Experimental Psychology, Ghent University, Henri Dunantlaan 2, 9000, Ghent, Belgium. aurelie.pistono@ugent.be.
Psychonomic bulletin & review
|February 19, 2025
概括
语言流,就像"",是由于单词之间的竞争而产生的,而不是延迟的策略. 这种语言生产发现使用漂移扩散模型 (DDM) 来分析语音.
科学领域:
- 认知心理学 认知心理学
- 心理语言学 心理语言学
- 计算语言学 计算语言学
背景情况:
- 语音失调可能源于语言生产困难或故意拖延策略.
- 了解不流利的基本机制对于理解语音的产生至关重要.
- 漂移扩散模型 (DDM) 为分析认知任务中的决策过程提供了一个框架.
研究的目的:
- 在语义竞争背景下调查语音失调的起源.
- 区分流失作为生产困难与赢得时间的策略之间的差异.
- 应用漂移扩散模型 (DDM) 来分析影响图片命名不流行的因素.
主要方法:
- 开发了一个加速的图片词干扰范式,用于命名任务.
- 利用漂移扩散模型 (DDM) 来分析响应数据.
- 对相关与非相关的分心因子和流与不流反应的试验进行了DDM参数的比较.
主要成果:
- 不相关的分心因子比语义分心因子的漂移率更高,表明处理难度更大.
- 正确的流动反应与正确的不流动反应相比,显示出更高的漂移率.
- 研究结果表明,语义干扰会影响词汇语义系统的激活.
结论:
- 图片命名不流反映了词汇响应选项之间的竞争.
- 说话不流不是一个故意的策略来拖延时间.
- 该研究提供了关于响应竞争在语言生产中的作用的证据.
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