Learning preferences and soundscapes for augmented hearing

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

Learning preferences and soundscapes for augmented hearing

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

Eriksholm Research Centre

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of Intelligent User Interfaces
Number of pages	7
Publisher	Association for Computing Machinery
Publication date	2018
Publication status	Published - 2018
Event	23rd International Conference on Intelligent User Interface - Hitotsubashi Hall, Tokyo, Japan Duration: 7 Mar 2018 → 11 Mar 2018 Conference number: 23 https://iui.acm.org/2018/

Conference

Conference	23rd International Conference on Intelligent User Interface
Number	23
Location	Hitotsubashi Hall
Country/Territory	Japan
City	Tokyo
Period	07/03/2018 → 11/03/2018
Internet address	https://iui.acm.org/2018/

UN SDGs

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

SDG 3 Good Health and Well-being

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@inproceedings{4b32231d7fd44bb8b3035e28cf138d5b,

title = "Learning preferences and soundscapes for augmented hearing",

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 {\textquoteright}one size fits all{\textquoteright} 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.",

author = "Korzepa, \{Maciej Jan\} and Benjamin Johansen and Petersen, \{Michael Kai\} and Jan Larsen and Larsen, \{Jakob Eg\} and Pontoppidan, \{Niels Henrik\}",

year = "2018",

language = "English",

booktitle = "Proceedings of Intelligent User Interfaces",

publisher = "Association for Computing Machinery",

address = "United States",

note = "23rd International Conference on Intelligent User Interface, ACM IUI 2018 ; Conference date: 07-03-2018 Through 11-03-2018",

url = "https://iui.acm.org/2018/",

}

TY - GEN

T1 - Learning preferences and soundscapes for augmented hearing

AU - Korzepa, Maciej Jan

AU - Johansen, Benjamin

AU - Petersen, Michael Kai

AU - Larsen, Jan

AU - Larsen, Jakob Eg

AU - Pontoppidan, Niels Henrik

N1 - Conference code: 23

PY - 2018

Y1 - 2018

N2 - 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.

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 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.

M3 - Article in proceedings

BT - Proceedings of Intelligent User Interfaces

PB - Association for Computing Machinery

T2 - 23rd International Conference on Intelligent User Interface

Y2 - 7 March 2018 through 11 March 2018

ER -

Learning preferences and soundscapes for augmented hearing

Abstract

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