Headphone Evaluation for App-Based Automated Mobile Hearing Screening. Academic Article uri icon


  • Introduction With the need for hearing screenings increasing across multiple populations, a need for automated options has been identified. This research seeks to evaluate the hardware requirements for automated hearing screenings using a mobile application. Objective Evaluation of headphone hardware for use with an app-based mobile screening application. Methods For the purposes of this study, hEAR, a Bekesy-based mobile application designed by the research team, was compared with pure tone audiometric tests administered by an audiologist. Both hEAR and the audiologist's test used 7 frequencies (125Hz, 250Hz, 500Hz, 1,000Hz, 2000Hz, 4,000Hz and 8,000 Hz) adopting four different sets of commercially available headphones. The frequencies were regarded as the independent variable, whereas the sound pressure level (in decibels) was the dependent variable. Thirty participants from a university in Texas were recruited and randomly assigned to one of two groups, whose only difference was the order in which the tests were performed. Data were analyzed using a generalized estimating equation model at =0.05. Results Findings showed that, when used to collect data with the mobile app, both the Pioneer HDJ-2000 (Pioneer, Bunkyo, Tokyo, Japan) ( p >0.05) and the Sennheiser HD280 Pro (Sennheiser, Wedemark, Hanover, Germany) ( p >0.05) headphones presented results that were not statistically different from the audiologist's data across all test frequencies. Analyses indicated that both headphones had decreased detection probability at 4kHz and 8kHz, but the differences were not statistically significant. Conclusion Data indicate that a mobile application, when paired with appropriate headphones, is capable of reproducing audiologist-quality data.

published proceedings

  • Int Arch Otorhinolaryngol

altmetric score

  • 0.25

author list (cited authors)

  • Pickens, A. W., Robertson, L. D., Smith, M. L., Zheng, Q. i., & Song, S.

citation count

  • 3

complete list of authors

  • Pickens, Adam W||Robertson, Lakshmi Dakuri||Smith, Matthew Lee||Zheng, Qi||Song, Sejun

publication date

  • January 2018