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- Title
Feasibility of Tablet-Based Remote Data Collection Method for Measuring Hearing Aid Preference.
- Authors
Rallapalli, Varsha; Souza, Pamela
- Abstract
Purpose: The purpose of this study was to determine the feasibility of a tabletbased remote data collection method for measuring preference for hearing aid signal processing features. Method: Participants were nine individuals with bilateral mild to moderately severe sensorineural hearing loss. Stimuli were spatialized low-context sentences mixed with six-talker babble at two realistic signal-to-noise ratios (3 and 8 dB) and processed through a hearing aid simulator. Preference for full factorial combinations of three common hearing aid processing features (two levels each) was elicited using a paired-comparison task. Participants completed two versions of the experiment: The lab version was completed in a sound-treated booth using a custom MATLAB application on a desktop computer; the remote version was completed in a quiet room in the participant's home, using a custom MATLAB executable application on a tablet. Both versions used the same calibrated headphones. Strict infection control protocols were followed. Results: McNemar's test showed no association between preference and data collection method for the majority of the conditions. Percentage agreement and kappa scores were moderate/fair across most conditions. The results indicated that the remote versus lab versions did not have a systematic effect on preference. However, the relatively low agreement and kappa scores suggested within-subject variability in the outcome (preference). Conclusion: The tablet-based version of remote experimentation was comparable to the lab-based version for eliciting preference for hearing aid signal processing features.
- Subjects
REMOTE access networks; STATISTICS; HEARING aids; PATIENTS' attitudes; CONTENT mining; T-test (Statistics); COMPARATIVE studies; SOFTWARE architecture; RANDOMIZED controlled trials; AUDIOMETRY; SIGNAL processing; DESCRIPTIVE statistics; DECISION making in clinical medicine; DATA analysis; STATISTICAL sampling; PORTABLE computers
- Publication
American Journal of Audiology, 2022, p746
- ISSN
1059-0889
- Publication type
Article
- DOI
10.1044/2022_AJA-21-00273