做uHear？uHear App在声景研究中听力初步筛查的验证
Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies
摘要：
涉及声景感知的研究通常排除听力损失的参与者，以防止感知受损影响实验结果。参与者通常使用纯音测听进行筛选，这是识别和量化特定频率听力损失的“金标准”，如果不符合研究相关阈值，则将其排除在外。然而，采购专业的听力设备进行声景研究可能是成本效益低，手动进行听力测试是劳动密集型的。此外，声景研究的测试要求可能不需要像医疗诊断环境那样高的灵敏度和特异性。因此，在这项研究中，我们调查了uHear应用程序（iOS应用程序）作为传统听力计的经济实惠和自动替代品的有效性，以筛选参与者的听力损失，用于声景研究或听力测试。根据与163名参与者的听力计进行的听力测试比较，发现uHear应用程序在使用世界卫生组织（WHO）分级方案评估正常听力时具有高精度（98.04%）。当在分级中考虑使用uHear应用程序评估的所有频率时，精度进一步提高（98.69%），这进一步支持了这种具有成本效益的自动化替代方案，以筛选正常听力。
英文摘要：
Studies involving soundscape perception often exclude participants with hearing loss to prevent impaired perception from affecting experimental results. Participants are typically screened with pure tone audiometry, the "gold standard" for identifying and quantifying hearing loss at specific frequencies, and excluded if a study-dependent threshold is not met. However, procuring professional audiometric equipment for soundscape studies may be cost-ineffective, and manually performing audiometric tests is labour-intensive. Moreover, testing requirements for soundscape studies may not require sensitivities and specificities as high as that in a medical diagnosis setting. Hence, in this study, we investigate the effectiveness of the uHear app, an iOS application, as an affordable and automatic alternative to a conventional audiometer in screening participants for hearing loss for the purpose of soundscape studies or listening tests in general. Based on audiometric comparisons with the audiometer of 163 participants, the uHear app was found to have high precision (98.04%) when using the World Health Organization (WHO) grading scheme for assessing normal hearing. Precision is further improved (98.69%) when all frequencies assessed with the uHear app is considered in the grading, which lends further support to this cost-effective, automated alternative to screen for normal hearing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
