关注焦点对成年人跨句和句子内变量的影响,成年人做和不吃
Kim R Bauerly1, Eric S Jackson2
1Speech Fluency Lab, The University of Vermont, Burlington.
Journal of speech, language, and hearing research : JSLHR
|November 6, 2024
概括
吃的演讲者 (AWS) 从外部注意力集中中受益,这增强了演讲灵活性. 这项研究研究了的成年人与不的成年人的关节变异性上的注意力焦点效应.
科学领域:
- 语音运动控制器的控制器
- 吃吃的研究研究.
- 在语音制作中注意力集中.
背景情况:
- 外部关注焦点提高了语音准确性,并减少了口腔运动任务的变化.
- 注意力对句子内和句子间的表达变异性的影响,特别是对口吃的演讲者 (AWS) 的影响,仍然不清楚.
研究的目的:
- 为了研究内部与外部注意力之间的影响,我们将重点放在自言的成年人 (AWS) 和不自言的成年人 (ANS) 的句子水平上的关节变化.
主要方法:
- 采用线性 (时空指数 (STI)) 和非线性 (复发量化分析 (RQA)) 指数来测量唇孔变化.
- 在内部和外部注意力焦点条件下,使用虚拟现实任务评估了10个AWS和15个ANS重复句子.
- 使用的RQA措施 (%DET,MAXLINE,TREND) 用于句子内的变化和STI用于跨句子的变化.
主要成果:
- 与ANS相比,AWS表现出较长的运动持续时间和与外部焦点相比的语音频率增加.
- 在各种注意力条件下,AWS显示出比ANS更具决定性 (%DET) 和稳定的 (MAXLINE) 语音模式.
- 在外部聚焦下,这两组都表现出减少的跨句子变化 (STI) 和句子内决定性 (%DET) 和稳定性 (MAXLINE).
结论:
- AWS可能采用更为严格的移动策略,而外部关注则促进了更大的语音灵活性和响应能力.
- 研究结果表明,注意力集中显著影响了AWS和ANS的表达控制和可变性.
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