Learning preferences and soundscapes for augmented hearing

Maciej Jan Korzepa, Benjamin Johansen, Michael Kai Petersen, Jan Larsen, Jakob Eg Larsen, Niels Henrik Pontoppidan

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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Abstract

Despite the technological advancement of modern hearing aids (HA), many users abandon their devices due to lack of personalization. This is caused by the limited hearing health care resources resulting in users getting only a default ’one size fits all’ setting. However, the emergence of smartphoneconnected HA enables the devices to learn behavioral patterns inferred from user interactions and corresponding soundscape. Such data could enable adaptation of settings to individual
user needs dependent on the acoustic environments. In our pilot study, we look into how two test subjects adjust their HA settings, and identify main behavioral patterns that help to explain their needs and preferences in different auditory conditions. Subsequently, we sketch out possibilities and challenges of learning contextual preferences of HA users. Finally, we consider how to encompass these aspects in the design of intelligent interfaces enabling smartphone-connected
HA to continuously adapt their settings to context-dependent user needs.
Original languageEnglish
Title of host publicationProceedings of Intelligent User Interfaces
Number of pages7
PublisherAssociation for Computing Machinery
Publication date2018
Publication statusPublished - 2018
Event23rd Intetnational Conference on Intelligent User Interface - Hitotsubashi Hall (National Center of Sciences Building), Tokyo, Japan
Duration: 7 Mar 201811 Mar 2018
https://iui.acm.org/2018/

Conference

Conference23rd Intetnational Conference on Intelligent User Interface
LocationHitotsubashi Hall (National Center of Sciences Building)
CountryJapan
CityTokyo
Period07/03/201811/03/2018
Internet address

Cite this

Korzepa, M. J., Johansen, B., Petersen, M. K., Larsen, J., Larsen, J. E., & Pontoppidan, N. H. (2018). Learning preferences and soundscapes for augmented hearing. In Proceedings of Intelligent User Interfaces Association for Computing Machinery.
Korzepa, Maciej Jan ; Johansen, Benjamin ; Petersen, Michael Kai ; Larsen, Jan ; Larsen, Jakob Eg ; Pontoppidan, Niels Henrik. / Learning preferences and soundscapes for augmented hearing. Proceedings of Intelligent User Interfaces. Association for Computing Machinery, 2018.
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abstract = "Despite the technological advancement of modern hearing aids (HA), many users abandon their devices due to lack of personalization. This is caused by the limited hearing health care resources resulting in users getting only a default ’one size fits all’ setting. However, the emergence of smartphoneconnected HA enables the devices to learn behavioral patterns inferred from user interactions and corresponding soundscape. Such data could enable adaptation of settings to individualuser needs dependent on the acoustic environments. In our pilot study, we look into how two test subjects adjust their HA settings, and identify main behavioral patterns that help to explain their needs and preferences in different auditory conditions. Subsequently, we sketch out possibilities and challenges of learning contextual preferences of HA users. Finally, we consider how to encompass these aspects in the design of intelligent interfaces enabling smartphone-connectedHA to continuously adapt their settings to context-dependent user needs.",
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Korzepa, MJ, Johansen, B, Petersen, MK, Larsen, J, Larsen, JE & Pontoppidan, NH 2018, Learning preferences and soundscapes for augmented hearing. in Proceedings of Intelligent User Interfaces. Association for Computing Machinery, 23rd Intetnational Conference on Intelligent User Interface, Tokyo, Japan, 07/03/2018.

Learning preferences and soundscapes for augmented hearing. / Korzepa, Maciej Jan; Johansen, Benjamin; Petersen, Michael Kai; Larsen, Jan; Larsen, Jakob Eg; Pontoppidan, Niels Henrik.

Proceedings of Intelligent User Interfaces. Association for Computing Machinery, 2018.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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T1 - Learning preferences and soundscapes for augmented hearing

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AU - Larsen, Jan

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AU - Pontoppidan, Niels Henrik

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AB - Despite the technological advancement of modern hearing aids (HA), many users abandon their devices due to lack of personalization. This is caused by the limited hearing health care resources resulting in users getting only a default ’one size fits all’ setting. However, the emergence of smartphoneconnected HA enables the devices to learn behavioral patterns inferred from user interactions and corresponding soundscape. Such data could enable adaptation of settings to individualuser needs dependent on the acoustic environments. In our pilot study, we look into how two test subjects adjust their HA settings, and identify main behavioral patterns that help to explain their needs and preferences in different auditory conditions. Subsequently, we sketch out possibilities and challenges of learning contextual preferences of HA users. Finally, we consider how to encompass these aspects in the design of intelligent interfaces enabling smartphone-connectedHA to continuously adapt their settings to context-dependent user needs.

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BT - Proceedings of Intelligent User Interfaces

PB - Association for Computing Machinery

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Korzepa MJ, Johansen B, Petersen MK, Larsen J, Larsen JE, Pontoppidan NH. Learning preferences and soundscapes for augmented hearing. In Proceedings of Intelligent User Interfaces. Association for Computing Machinery. 2018