吃和避开声音对参考生产和记忆的影响
Si On Yoon1, Morgan Schuchard2, Anu Subramanian3
1Department of Communicative Sciences and Disorders, New York University, New York, NY, USA.
Applied psycholinguistics
|February 25, 2026
概括
吃的成年人 (AWS) 使用语言监测没有显著的认知成本,但吃的时刻可以短暂地影响记忆编码. 这表明AWS中的自适应性语言处理.
科学领域:
- 认知心理学 认知心理学
- 语言的神经科学语言的神经科学
- 语音和语言病理学 语言病理学
背景情况:
- 吃的成年人 (AWS) 经常使用语言监测来管理失语.
- 这种监测可能会影响认知资源的分配,影响语言的产生和记忆.
- 这种监测的精确认知后果仍然不清楚.
研究的目的:
- 调查AWS中增加的语言监控是否会产生双重任务成本,从而限制内存编码.
- 为了确定这种监控是否通过更深层次的概念处理来增强记忆.
- 为了比较AWS中的认知表现与不口吃的成年人 (AWNS) 和模拟监测组.
主要方法:
- 32个AWS和64个AWNS参与了参考沟通任务.
- 一半的AWNS执行了声音回避任务,以模拟AWS的监控.
- 参与者完成了对先前呈现的参考人进行识别记忆测试.
主要成果:
- AWS显示语言生成和内存性能与AWNS相比,更类似于模拟监控组 (AWNS-SA).
- 在的时刻,AWS的内存性能在试验一试验的基础上下降.
- 在AWS中的语言监控似乎没有给双重任务带来重大整体成本.
结论:
- 在AWS中的语言监控不需要实质性的认知双重任务成本.
- 的事件可能会导致AWS内存编码的暂时中断.
- 这些发现强调了语言监控在支持AWS中的语言和内存方面的适应性.
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