Obtaining Data on Hearing Experience Through Self-tracking

Benjamin Johansen; Michael Kai Petersen; Jakob Eg Larsen

doi:10.1145/2968219.2968327

Obtaining Data on Hearing Experience Through Self-tracking

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

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 language	English
Title of host publication	Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16)
Publisher	Association for Computing Machinery
Publication date	2016
Pages	594-599
ISBN (Print)	978-1-4503-4462-3
DOIs	https://doi.org/10.1145/2968219.2968327
Publication status	Published - 2016
Event	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct - Heidelberg, Germany Duration: 12 Sept 2016 → 16 Sept 2016

Conference

Conference	2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct
Country/Territory	Germany
City	Heidelberg
Period	12/09/2016 → 16/09/2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

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

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10.1145/2968219.2968327

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Cite this

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title = "Obtaining Data on Hearing Experience Through Self-tracking",

abstract = "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.",

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

author = "Benjamin Johansen and Petersen, \{Michael Kai\} and Larsen, \{Jakob Eg\}",

year = "2016",

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publisher = "Association for Computing Machinery",

address = "United States",

note = "2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct , UbiComp'16 ; Conference date: 12-09-2016 Through 16-09-2016",

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Johansen, B, Petersen, MK & Larsen, JE 2016, Obtaining Data on Hearing Experience Through Self-tracking. in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16). Association for Computing Machinery, pp. 594-599, 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct , Heidelberg, Germany, 12/09/2016. https://doi.org/10.1145/2968219.2968327

Obtaining Data on Hearing Experience Through Self-tracking. / Johansen, Benjamin; Petersen, Michael Kai ; Larsen, Jakob Eg.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'16). Association for Computing Machinery, 2016. p. 594-599.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - 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.

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KW - Working Memory Capacity

KW - Quanti ed self, non-clinical setu

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ER -

Obtaining Data on Hearing Experience Through Self-tracking

Abstract

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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Cite this