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面部表情作为听力困难和情绪反应的指标。

Facial Expressions as an Index of Listening Difficulty and Emotional Response.

作者信息

Venkitakrishnan Soumya, Wu Yu-Hsiang

机构信息

Department of Communication Sciences and Disorders, California State University, Sacramento, California.

Department of Communication Sciences and Disorders, University of Iowa, Iowa City, Iowa.

出版信息

Semin Hear. 2023 Apr 4;44(2):166-187. doi: 10.1055/s-0043-1766104. eCollection 2023 May.

Abstract

Knowledge about listening difficulty experienced during a task can be used to better understand speech perception processes, to guide amplification outcomes, and can be used by individuals to decide whether to participate in communication. Another factor affecting these decisions is individuals' emotional response which has not been measured objectively previously. In this study, we describe a novel method of measuring listening difficulty and affect of individuals in adverse listening situations using automatic facial expression algorithm. The purpose of our study was to determine if facial expressions of confusion and frustration are sensitive to changes in listening difficulty. We recorded speech recognition scores, facial expressions, subjective listening effort scores, and subjective emotional responses in 33 young participants with normal hearing. We used the signal-to-noise ratios of -1, +2, and +5 dB SNR and quiet conditions to vary the difficulty level. We found that facial expression of confusion and frustration increased with increase in difficulty level, but not with change in each level. We also found a relationship between facial expressions and both subjective emotion ratings and subjective listening effort. Emotional responses in the form of facial expressions show promise as a measure of affect and listening difficulty. Further research is needed to determine the specific contribution of affect to communication in challenging listening environments.

摘要

关于任务期间经历的听力困难的知识可用于更好地理解言语感知过程,指导放大效果,并且个人可利用这些知识来决定是否参与交流。影响这些决定的另一个因素是个人的情绪反应,而此前尚未对其进行客观测量。在本研究中,我们描述了一种使用自动面部表情算法测量个体在不利听力情况下的听力困难和情感反应的新方法。我们研究的目的是确定困惑和沮丧的面部表情是否对听力困难的变化敏感。我们记录了33名听力正常的年轻参与者的言语识别分数、面部表情、主观听力努力分数和主观情绪反应。我们使用信噪比为 -1、+2 和 +5 dB SNR 以及安静条件来改变难度水平。我们发现,困惑和沮丧的面部表情随着难度水平的增加而增加,但不是随着每个水平的变化而增加。我们还发现面部表情与主观情绪评分和主观听力努力之间存在关联。以面部表情形式呈现的情绪反应有望作为情感和听力困难的一种测量方式。需要进一步研究以确定情感在具有挑战性的听力环境中对交流的具体贡献。

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