Full metadata
Title
Assessing the Influence of Apple AirPods with Live Listen feature on Speech Recognition and Memory Retention in Noise Levels Simulating Noisy Healthcare Settings - Insights from QuickSIN
Description
This study aimed to evaluate the efficacy of Apple AirPods pro (2nd generation) Live Listen feature in enhancing word recognition and memory retention among individuals with varying degrees of hearing loss, as determined by their Signal-to-Noise Ratio (SNR) loss. Utilizing a single-group experimental design, the research measured participants' performance on word recognition and memory retention tasks with and without the Live Listen feature. Statistical analysis, including paired t-tests and linear regression, revealed significant improvements in word recognition (from 81.8% to 94.4%) and memory retention (from 43.8% to 59.4%) scores when the Live Listen feature was activated. Moreover, a positive correlation between SNR loss and recognition score improvements suggested a greater benefit for those with higher levels of hearing loss. However, the relationship with memory retention improvements was less pronounced. These findings underscore the potential of the Live Listen feature as an effective assistive listening device, highlighting its importance in enhancing auditory experiences for individuals with hearing impairments and encouraging further research into personalized auditory assistance technologies in noisy healthcare environments.
Date Created
2024
Contributors
- Foroogozar, Mehdi (Author)
- Liss, Julie (Thesis advisor)
- Berisha, Visar (Committee member)
- Luo, Xin (Committee member)
- Arizona State University (Publisher)
Topical Subject
Resource Type
Extent
33 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Handle
https://hdl.handle.net/2286/R.2.N.193345
Level of coding
minimal
Cataloging Standards
Note
Partial requirement for: M.S., Arizona State University, 2024
Field of study: Speech and Hearing Science
System Created
- 2024-05-02 01:09:33
System Modified
- 2024-05-02 01:09:39
- 6 months 1 week ago
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