Journal article
GPS predicts stability of listening environment characteristics in one location over time among older hearing aid users
International journal of audiology, Vol.60(5), pp.328-340
2021
DOI: 10.1080/14992027.2020.1831083
PMID: 33074752
Abstract
Hearing aid technology can allow users to "geo-tag" hearing aid preferences using the Global Positioning System (GPS). This technology assumes that listening environment characteristics that affect hearing aid benefit change little in a location over time. The purpose of this study was to investigate whether certain characteristics (reverberation, signal type, listening activity, noise location, noisiness, talker familiarity, talker location, and visual cues) changed in a location over time. Design: Participants completed GPS-tagged surveys on smartphones to report on characteristics of their listening environments. Coordinates were used to create indices that described how much listening environment characteristics changed in a location over time. Indices computed in one location were compared to indices computed across all locations for each participant. Study sample: 54 adults with hearing loss participated in this study (26 males and 38 females; 30 experienced hearing aid users and 24 new users). Results: A location dependency was observed for all characteristics. Characteristics were significantly different from one another in their stability over time. Conclusions: Listening environment characteristics changed less over time in a given location than in participants' lives generally. The effectiveness of GPS-dependent hearing aid settings likely depends on the accuracy and location definition of the GPS feature.
Details
- Title: Subtitle
- GPS predicts stability of listening environment characteristics in one location over time among older hearing aid users
- Creators
- Erik J Jorgensen - Department of Communication Sciences and Disorders, University of IowaElizabeth Stangl - Department of Communication Sciences and Disorders, University of IowaOctav Chipara - Department of Computer Science, University of IowaHelin Hernandez - Department of Biostatistics, University of IowaJacob Oleson - Department of Biostatistics, University of IowaYu-Hsiang Wu - Department of Communication Sciences and Disorders, University of Iowa
- Resource Type
- Journal article
- Publication Details
- International journal of audiology, Vol.60(5), pp.328-340
- DOI
- 10.1080/14992027.2020.1831083
- PMID
- 33074752
- NLM abbreviation
- Int J Audiol
- ISSN
- 1499-2027
- eISSN
- 1708-8186
- Publisher
- Taylor & Francis
- Grant note
- name: National Institutes of Health/National Institute on Deafness and Other Communication Disorders, award: R01DC015997, P50DC000242; name: National Science Foundation Smart and Connected Health, award: 1838830
- Language
- English
- Date published
- 2021
- Academic Unit
- Communication Sciences and Disorders; Biostatistics; Computer Science; Otolaryngology
- Record Identifier
- 9984066339002771
Metrics
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