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聆听者特征会对与两种具有挑战性聆听条件相关的自我报告和生理努力测量产生影响。

Listener characteristics differentially affect self-reported and physiological measures of effort associated with two challenging listening conditions.

机构信息

Department of Speech, Language and Hearing Sciences, Purdue University, Lyles-Porter Hall, 715 Clinic Dr., West Lafayette, IN, 47907, USA.

Department of Speech, Language and Hearing Sciences, Indiana University, Bloomington, IN, USA.

出版信息

Atten Percept Psychophys. 2021 May;83(4):1818-1841. doi: 10.3758/s13414-020-02195-9. Epub 2021 Jan 12.

DOI:10.3758/s13414-020-02195-9
PMID:33438149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8084824/
Abstract

Listeners vary in their ability to understand speech in adverse conditions. Differences in both cognitive and linguistic capacities play a role, but increasing evidence suggests that such factors may contribute differentially depending on the listening challenge. Here, we used multilevel modeling to evaluate contributions of individual differences in age, hearing thresholds, vocabulary, selective attention, working memory capacity, personality traits, and noise sensitivity to variability in measures of comprehension and listening effort in two listening conditions. A total of 35 participants completed a battery of cognitive and linguistic tests as well as a spoken story comprehension task using (1) native-accented English speech masked by speech-shaped noise and (2) nonnative accented English speech without masking. Masker levels were adjusted individually to ensure each participant would show (close to) equivalent word recognition performance across the two conditions. Dependent measures included comprehension tests results, self-rated effort, and electrodermal, cardiovascular, and facial electromyographic measures associated with listening effort. Results showed varied patterns of responsivity across different dependent measures as well as across listening conditions. In particular, results suggested that working memory capacity may play a greater role in the comprehension of nonnative accented speech than noise-masked speech, while hearing acuity and personality may have a stronger influence on physiological responses affected by demands of understanding speech in noise. Furthermore, electrodermal measures may be more strongly affected by affective response to noise-related interference while cardiovascular responses may be more strongly affected by demands on working memory and lexical access.

摘要

听众在不利条件下理解言语的能力各不相同。认知和语言能力的差异都起着作用,但越来越多的证据表明,这些因素的贡献可能因听力挑战的不同而不同。在这里,我们使用多层次建模来评估个体差异在年龄、听力阈值、词汇量、选择性注意、工作记忆能力、个性特征和噪声敏感性等方面对两种听力条件下理解和听力努力测量的可变性的贡献。共有 35 名参与者完成了一系列认知和语言测试,以及一项使用(1)被语音噪声掩盖的母语口音英语语音和(2)无掩蔽的非母语口音英语语音的口语故事理解任务。根据每个参与者在两种条件下的单词识别表现(接近)相等的原则,单独调整掩蔽器的水平。因变量包括理解测试结果、自我评定的努力以及与听力努力相关的皮肤电、心血管和面部肌电图测量。结果显示,不同的因变量以及不同的听力条件下,反应模式各不相同。特别是,结果表明工作记忆能力在理解非母语口音的言语方面可能比噪声掩蔽的言语更为重要,而听力敏锐度和个性可能对受噪声中理解言语需求影响的生理反应有更强的影响。此外,皮肤电测量可能更受与噪声相关干扰的情感反应的影响,而心血管反应可能更受工作记忆和词汇访问需求的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/388978b32f56/13414_2020_2195_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/4554048bf7ac/13414_2020_2195_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/c4a96e435366/13414_2020_2195_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/06aaa72e75b8/13414_2020_2195_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/82ede6bb3c53/13414_2020_2195_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/18242083684d/13414_2020_2195_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/6123ca900af1/13414_2020_2195_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/00827cc94907/13414_2020_2195_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/6478d3a894d1/13414_2020_2195_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/388978b32f56/13414_2020_2195_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/4554048bf7ac/13414_2020_2195_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/c4a96e435366/13414_2020_2195_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/06aaa72e75b8/13414_2020_2195_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/82ede6bb3c53/13414_2020_2195_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/18242083684d/13414_2020_2195_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/6123ca900af1/13414_2020_2195_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/00827cc94907/13414_2020_2195_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/6478d3a894d1/13414_2020_2195_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c159/8084824/388978b32f56/13414_2020_2195_Fig9_HTML.jpg

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