About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Conference paper

Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns

In Chi’17 Extended Abstracts β€” 2017, pp. 1733-1739
From

Department of Applied Mathematics and Computer Science, Technical University of Denmark1

Cognitive Systems, Department of Applied Mathematics and Computer Science, Technical University of Denmark2

Eriksholm Research Centre3

Oticon Danmark AS4

Copenhagen Center for Health Technology, Centers, Technical University of Denmark5

The recent introduction of Internet connected hearing instruments offers a paradigm shift in hearing instrument fitting. Potentially this makes it possible for devices to adapt their settings to a changing context, inferred from user interactions. In a pilot study we enabled hearing instrument users to remotely enhance auditory focus and attenuate background noise to improve speech intelligibility.

N=5, participants changed program settings and adjusted volume on their hearing instruments using their smartphones. We found that individual behavioral patterns affected the usage of the devices. A significant difference between program usage, and weekdays versus weekends, were found. Users not only changed programs to modify aspects of directionality and noise reduction, but also continuously adjusted the volume.

Rethinking hearing instruments as devices that adaptively learn behavioral patterns based on user interaction, might provide a degree of personalization that has not been feasible due to lack of audiological resources.

Language: English
Publisher: Association for Computing Machinery
Year: 2017
Pages: 1733-1739
Proceedings: ACM CHI 2017
ISBN: 1450346561 and 9781450346566
Types: Conference paper
DOI: 10.1145/3027063.3053156
ORCIDs: Johansen, Benjamin and Larsen, Jakob Eg

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis