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Investigating Differences in Preferred Noise Reduction Strength Among Hearing Aid Users
Tobias Neher1, Kirsten C Wagener2
1Medizinische Physik, Oldenburg University, Oldenburg, Germany Cluster of Excellence Hearing4all, Oldenburg, Germany tobias.neher@uni-oldenburg.de.
Hearing aid users show individual preferences for noise reduction (NR) strength. These preferences are stable traits not easily predicted by standard tests, suggesting users should set their own NR levels during fitting.
Area of Science:
- Audiology
- Acoustics
- Human-Computer Interaction
Background:
- Hearing aid (HA) users exhibit significant variability in their response to noise reduction (NR) processing.
- Understanding the drivers of this variability is crucial for optimizing HA fittings and user satisfaction.
- Current knowledge regarding factors influencing NR preference is limited.
Purpose of the Study:
- To investigate the differences in preferred NR strength among experienced HA users.
- To identify potential predictors of NR preference, including psychoacoustic measures and self-reported traits.
- To explore the stability of NR preferences over time.
Main Methods:
- Recruited two groups of experienced HA users: "NR lovers" (N=14) and "NR haters" (N=13).
- Assessed maximally acceptable background noise levels and detection thresholds for NR-induced speech distortions.
- Collected self-reported "sound personality" traits and allowed participants to adjust NR strength to their preferred level.
Main Results:
- NR lovers consistently preferred stronger NR processing than NR haters, with some overlap observed.
- Marginal differences were found for maximally acceptable noise levels and speech distortion detection thresholds between groups.
- No significant differences in self-reported sound personality traits were identified between the groups.
Conclusions:
- Preferred NR strength appears to be a stable, individual trait not readily explained by current audiological or psychoacoustic measures.
- Existing measures may not adequately capture susceptibility to background noise or processing artifacts influencing NR preference.
- Personalized NR fitting, allowing users to self-determine optimal settings, is a promising approach for improving user experience.
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