Obtaining Data on Hearing Experience Through Self-tracking

Research output: Research - peer-reviewArticle in proceedings – Annual report year: 2016

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This position paper argues that self-tracking data can enrich a pre-fitting process of hearing aids. It is argued that hearing loss consist of three parts. Tonal sensitivity, signal to-noise-sensitivity, and cognitive capabilities which can be assessed by using smartphones. Combining this with contextual data and subjective data (perceived fatigue for example), could generated a hearing profile for the end user. This could be used for continuous fitting based on user feedback of the hearing instruments at a later point in time.

We suggest, that pre-fitting and a continuous process could create a paradigm shift empowering and transforming the user into an essential part of the solution, through increased awareness and inclusion. The end result could be a potentially better fitting, and a better hearing experience for the individual.
Original languageEnglish
Title of host publicationProceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16)
PublisherAssociation for Computing Machinery
Publication date2016
Pages594-599
ISBN (Print)978-1-4503-4462-3
DOIs
StatePublished - 2016
Event 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct - Heidelberg, Germany
Duration: 12 Sep 201616 Sep 2016

Conference

Conference 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
CountryGermany
CityHeidelberg
Period12/09/201616/09/2016
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Hearing Aids, Cognition, Working Memory Capacity, Quanti ed self, non-clinical setu, Personal Informatics, Wearable, Smartphone
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