熵作为听觉环境多样性的度量：生态瞬时评估（EMA）方法。
Entropy as a Measure of Auditory Environment Diversity: An Ecological Momentary Assessment (EMA) Approach.
机构信息
Department of Communication Sciences and Disorders, The University of Iowa, Iowa City, Iowa, USA.
Department of Otolaryngology-Head and Neck Surgery, The University of Iowa, Iowa City, Iowa, USA.
出版信息
Ear Hear. 2023;44(4):917-923. doi: 10.1097/AUD.0000000000001334. Epub 2023 Feb 9.
OBJECTIVES
To determine the validity and usefulness of entropy computed using ecological momentary assessment (EMA) data as a measure of auditory environment diversity.
DESIGN
We conducted two secondary analyses on existing EMA datasets. The first determined the construct validity of auditory environment entropy by examining the effect of COVID-19 on entropy. To demonstrate entropy's usefulness, the second examined if entropy could predict the benefit of hearing aid (HA) noise reduction features.
RESULTS
Consistent with the known effect of COVID-19 on social lifestyle, COVID-19 significantly reduced auditory environment diversity, supporting entropy's construct validity. HA users with higher entropy reported poorer outcomes and perceived more benefit from HA features, supporting the feasibility of using entropy to predict communication performance and feature benefit.
CONCLUSIONS
Entropy derived from EMA data is a valid and useful auditory environment diversity measure. This measure could allow researchers to better understand the communication needs of people with hearing loss.
目的
确定使用生态瞬时评估 (EMA) 数据计算出的熵作为听觉环境多样性衡量标准的有效性和实用性。
设计
我们对现有的 EMA 数据集进行了两项二次分析。第一项通过研究 COVID-19 对熵的影响，确定了听觉环境熵的结构有效性。为了证明熵的实用性，第二项检验了熵是否可以预测助听器 (HA) 降噪功能的益处。
结果
与 COVID-19 对社会生活方式的已知影响一致，COVID-19 显著降低了听觉环境的多样性，支持了熵的结构有效性。具有较高熵的 HA 用户报告的结果较差，并且从 HA 功能中获得的益处更大，这支持了使用熵来预测沟通表现和功能益处的可行性。
结论
从 EMA 数据中得出的熵是一种有效且有用的听觉环境多样性衡量标准。这种衡量标准可以帮助研究人员更好地了解听力损失人群的沟通需求。
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