Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedings – Annual report year: 2017Researchpeer-review

Standard

Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns. / Johansen, Benjamin; Petersen, Michael Kai; Pontoppidan, Niels Henrik; Sandholm, Per; Larsen, Jakob Eg.

CHI’17 Extended Abstracts. Association for Computing Machinery, 2017. p. 1733-1739.

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedings – Annual report year: 2017Researchpeer-review

Harvard

Johansen, B, Petersen, MK, Pontoppidan, NH, Sandholm, P & Larsen, JE 2017, Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns. in CHI’17 Extended Abstracts. Association for Computing Machinery, pp. 1733-1739, ACM CHI 2017, Denver, United States, 06/05/2017. https://doi.org/10.1145/3027063.3053156

APA

Johansen, B., Petersen, M. K., Pontoppidan, N. H., Sandholm, P., & Larsen, J. E. (2017). Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns. In CHI’17 Extended Abstracts (pp. 1733-1739). Association for Computing Machinery. https://doi.org/10.1145/3027063.3053156

CBE

Johansen B, Petersen MK, Pontoppidan NH, Sandholm P, Larsen JE. 2017. Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns. In CHI’17 Extended Abstracts. Association for Computing Machinery. pp. 1733-1739. https://doi.org/10.1145/3027063.3053156

MLA

Johansen, Benjamin et al. "Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns". CHI’17 Extended Abstracts. Association for Computing Machinery. 2017, 1733-1739. https://doi.org/10.1145/3027063.3053156

Vancouver

Johansen B, Petersen MK, Pontoppidan NH, Sandholm P, Larsen JE. Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns. In CHI’17 Extended Abstracts. Association for Computing Machinery. 2017. p. 1733-1739 https://doi.org/10.1145/3027063.3053156

Author

Johansen, Benjamin ; Petersen, Michael Kai ; Pontoppidan, Niels Henrik ; Sandholm, Per ; Larsen, Jakob Eg. / Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns. CHI’17 Extended Abstracts. Association for Computing Machinery, 2017. pp. 1733-1739

Bibtex

@inbook{30be38d158bb46aba15944588dc85573,
title = "Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns",
abstract = "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.",
keywords = "Hearing impairment, User behavior, Health, Aging, Augmented audio",
author = "Benjamin Johansen and Petersen, {Michael Kai} and Pontoppidan, {Niels Henrik} and Per Sandholm and Larsen, {Jakob Eg}",
year = "2017",
doi = "10.1145/3027063.3053156",
language = "English",
isbn = "978-1-4503-4656-6",
pages = "1733--1739",
booktitle = "CHI’17 Extended Abstracts",
publisher = "Association for Computing Machinery",

}

RIS

TY - ABST

T1 - Rethinking Hearing Aid Fitting by Learning From Behavioral Patterns

AU - Johansen, Benjamin

AU - Petersen, Michael Kai

AU - Pontoppidan, Niels Henrik

AU - Sandholm, Per

AU - Larsen, Jakob Eg

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Hearing impairment

KW - User behavior

KW - Health

KW - Aging

KW - Augmented audio

U2 - 10.1145/3027063.3053156

DO - 10.1145/3027063.3053156

M3 - Conference abstract in proceedings

SN - 978-1-4503-4656-6

SP - 1733

EP - 1739

BT - CHI’17 Extended Abstracts

PB - Association for Computing Machinery

ER -