Literature DB >> 29049625

A "Goldilocks" Approach to Hearing-Aid Self-Fitting: User Interactions.

Arthur Boothroyd1, Carol Mackersie1.   

Abstract

PURPOSE: The purpose of the current study was to evaluate user reactions to custom software designed for self-adjustment of amplification.
METHOD: "Goldilocks" software was developed to allow user exploration and selection of preferred levels of overall output, low-frequency cut, and high-frequency boost while listening to preprocessed speech. Thirteen hearing-aid users and 13 nonusers self-adjusted before and after taking a speech perception test incorporated into the software.
RESULTS: All 26 participants were able to complete the 2 adjustments and the intervening test in an average of 6.5 min-20 of them from on-screen instructions without experimenter help. Relative to a generic starting condition, the average participant opted to increase overall output, reduce low-frequency cut, and increase high-frequency boost. The first and second self-selected values were highly correlated, but there was evidence of further increases of overall volume and high-frequency boost after speech perception testing with the initial adjustment. There was no evidence that prior hearing-aid experience affected the ability to understand or complete the self-fitting process.
CONCLUSIONS: This approach to hearing-aid self-fitting can be a speedy, reliable, and feasible alternative to, or supplement to, conventional fitting procedures, but many questions remain to be answered.

Entities:  

Mesh:

Year:  2017        PMID: 29049625      PMCID: PMC5944412          DOI: 10.1044/2017_AJA-16-0125

Source DB:  PubMed          Journal:  Am J Audiol        ISSN: 1059-0889            Impact factor:   1.493


  10 in total

Review 1.  Evidence on self-fitting hearing aids.

Authors:  Lena L N Wong
Journal:  Trends Amplif       Date:  2012-04-23

2.  Cost-effective hearing rehabilitation: a role for self-fitting hearing aids?

Authors:  Harvey Dillon; Gitte Keidser
Journal:  Trends Amplif       Date:  2012-04-05

3.  Threshold measurements by self-fitting hearing aids: feasibility and challenges.

Authors:  Gitte Keidser; Harvey Dillon; Dan Zhou; Lyndal Carter
Journal:  Trends Amplif       Date:  2012-03-07

4.  Client-based adjustments of hearing aid gain: the effect of different control configurations.

Authors:  Wouter A Dreschler; Gitte Keidser; Elizabeth Convery; Harvey Dillon
Journal:  Ear Hear       Date:  2008-04       Impact factor: 3.570

5.  Evaluation of the Self-Fitting Process with a Commercially Available Hearing Aid.

Authors:  Elizabeth Convery; Gitte Keidser; Mark Seeto; Margot McLelland
Journal:  J Am Acad Audiol       Date:  2017-02       Impact factor: 1.664

6.  A comparison of conventional and in-situ audiometry on participants with varying levels of sensorineural hearing loss.

Authors:  Jürgen Kiessling; Melanie Leifholz; Steffen Unkel; Jörn Pons-Kühnemann; Charlotte Thunberg Jespersen; Jenny Nesgaard Pedersen
Journal:  J Am Acad Audiol       Date:  2015-01       Impact factor: 1.664

7.  Factors affecting reliability and validity of self-directed automatic in situ audiometry: implications for self-fitting hearing AIDS.

Authors:  Elizabeth Convery; Gitte Keidser; Mark Seeto; Ingrid Yeend; Katrina Freeston
Journal:  J Am Acad Audiol       Date:  2015-01       Impact factor: 1.664

8.  Using trainable hearing aids to examine real-world preferred gain.

Authors:  H Gustav Mueller; Benjamin W Y Hornsby; Jennifer E Weber
Journal:  J Am Acad Audiol       Date:  2008 Nov-Dec       Impact factor: 1.664

Review 9.  NAL-NL2 empirical adjustments.

Authors:  Gitte Keidser; Harvey Dillon; Lyndal Carter; Anna O'Brien
Journal:  Trends Amplif       Date:  2012-11-30

Review 10.  Self-Fitting Hearing Aids: Status Quo and Future Predictions.

Authors:  Gitte Keidser; Elizabeth Convery
Journal:  Trends Hear       Date:  2016-04-12       Impact factor: 3.293

  10 in total
  12 in total

1.  Open Speech Platform: Democratizing Hearing Aid Research.

Authors:  Dhiman Sengupta; Arthur Boothroyd; Tamara Zubatiy; Cagri Yalcin; Dezhi Hong; Sean K Hamilton; Rajesh Gupta; Harinath Garudadri
Journal:  Int Conf Pervasive Comput Technol Healthc       Date:  2020-05

2.  Amplification Self-Adjustment: Controls and Repeatability.

Authors:  Arthur Boothroyd; Jennifer Retana; Carol L Mackersie
Journal:  Ear Hear       Date:  2022 May/Jun       Impact factor: 3.562

3.  Self-Adjustment of Hearing Aid Amplification for Lower Speech Levels: Independent Ratings, Paired Comparisons, and Speech Recognition.

Authors:  Trevor T Perry; Peggy B Nelson
Journal:  Am J Audiol       Date:  2022-03-22       Impact factor: 1.636

4.  A Wearable, Extensible, Open-Source Platform for Hearing Healthcare Research.

Authors:  Louis Pisha; Julian Warchall; Tamara Zubatiy; Sean Hamilton; Ching-Hua Lee; Ganz Chockalingam; Patrick P Mercier; Rajesh Gupta; Bhaskar D Rao; Harinath Garudadri
Journal:  IEEE Access       Date:  2019-11-04       Impact factor: 3.367

5.  Hearing Aid Self-Adjustment: Effects of Formal Speech-Perception Test and Noise.

Authors:  Carol L Mackersie; Arthur Boothroyd; Harinath Garudadri
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

6.  Self-Adjusted Amplification Parameters Produce Large Between-Subject Variability and Preserve Speech Intelligibility.

Authors:  Peggy B Nelson; Trevor T Perry; Melanie Gregan; Dianne VanTasell
Journal:  Trends Hear       Date:  2018 Jan-Dec       Impact factor: 3.293

7.  Perceptual Effects of Adjusting Hearing-Aid Gain by Means of a Machine-Learning Approach Based on Individual User Preference.

Authors:  Niels Søgaard Jensen; Ole Hau; Jens Brehm Bagger Nielsen; Thor Bundgaard Nielsen; Søren Vase Legarth
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

8.  Validation of a Self-Fitting Method for Over-the-Counter Hearing Aids.

Authors:  Andrew T Sabin; Dianne J Van Tasell; Bill Rabinowitz; Sumitrajit Dhar
Journal:  Trends Hear       Date:  2020 Jan-Dec       Impact factor: 3.293

9.  Discrimination of Gain Increments in Speech.

Authors:  Benjamin Caswell-Midwinter; William M Whitmer
Journal:  Trends Hear       Date:  2019 Jan-Dec       Impact factor: 3.293

10.  OPRA-RS: A Hearing-Aid Fitting Method Based on Automatic Speech Recognition and Random Search.

Authors:  Libio Gonçalves Braz; Lionel Fontan; Julien Pinquier; Michael A Stone; Christian Füllgrabe
Journal:  Front Neurosci       Date:  2022-02-21       Impact factor: 4.677

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