流体智能部分介导工作记忆对噪音中的语音识别的影响
Erik Marsja1, Emil Holmer1, Victoria Stenbäck1,2
1Disability Research Division, Department of Behavioural Sciences and Learning, Linköping University, Sweden.
Journal of speech, language, and hearing research : JSLHR
|December 12, 2024
概括
流体智能部分介绍了工作记忆能力和在噪音中识别语音之间的联系,无论听力状况如何. 这突出了流体智能.
科学领域:
- 认知心理学 认知心理学
- 听觉神经科学 听觉神经科学
- 人类衰老研究研究.
背景情况:
- 现有的文献将认知功能与噪音中的语音识别联系起来.
- 流体智能的特定作用仍未得到充分研究.
- 工作记忆容量 (WMC) 与流体智能相关,并预测噪音中的语音识别.
研究的目的:
- 调查流体智能在WMC和噪音语音识别之间的关系中的调解作用.
- 要确定听力状况是否会影响这种调解.
主要方法:
- 利用了n200研究的数据 (纵向衰老,听力和认知).
- 分析了带有和没有助听器的年龄匹配样本.
- 评估了WMC (阅读跨度任务),流体智能 (乌的渐进矩阵) 和在噪音中识别语音 (哈格曼句子).
- 员工调解分析. 员工调解分析.
主要成果:
- 流体智能部分调解了WMC与噪音中的语音识别之间的关系.
- 听力状况并没有缓解这种调解效应.
- WMC和流体智能显著相关.
结论:
- 流体智能在噪音中的语音识别中起着至关重要的作用,独立于听力状态.
- 进一步的研究应该探索先进的统计方法和各种测试条件.
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