Conference paper
Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns
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 |
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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 |