AutoFocus360 音质偏好与声明研究 (AF360)

实验性的：受试者分组

参与者将通过AutoFocus360和固定指向性麦克风，从前、左、后、右四个方位聆听说话者在两种噪声环境下讲话的场景。 实验条件的顺序在参与者间随机分配，并对参与者及实验人员实施盲法。

设备：自动聚焦 360

AutoFocus 360 是一项通过检测相对于助听器佩戴者的语音来源方向，并将波束成形导向语音方向来增强语音清晰度的功能。

设备：固定指向性麦克风

固定方向性麦克风可向助听器佩戴者前方提供静态波束成形。

Noise Disturbance Sound Quality Attribute

Participants will complete an A-B paired-comparison listening task to assess subjective preference for noise disturbance between two hearing aid conditions. In other words, participants will be asked "which sample has less disturbing noise". During testing, participants will listen to short audio recordings that vary in talker location and noise type. For each trial, participants will indicate which of the two recordings (A or B) has less bothersome background noise. The outcome measure will be the the percentage of "A preferred" versus "B preferred" responses aggregated across all trials and participants for a given noise and talker location. In other words, for a single noise x talker location combination, the outcome measures for AF360 and FWD should add up to 100. Binary preference data will be analyzed using inferential statistics.

Speech Clarity Sound Quality Attribute

Participants will complete an A-B paired-comparison listening task to assess subjective preference for speech clarity between two hearing aid conditions. In other words, participants will be asked "which sample has clearer speech". During testing, participants will listen to short audio recordings that vary in talker location and noise type. For each trial, participants will indicate which of the two recordings (A or B) has clearer speech. The outcome measure will be the proportion of "A preferred" versus "B preferred" responses aggregated across all trials and participants for a given noise and talker location. In other words, for a single noise x talker location combination, the outcome measures for AF360 and FWD should add up to 100. . Binary preference data will be analyzed using inferential statistics.