Hearables in hearing care: discovering usage patterns through IoT devices

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Hearables are on the rise as next generation wearables, capable of streaming audio, modifying soundscapes or functioning as biometric sensors. The recent introduction of IoT (Internet of things) connected hearing aids o er new opportunities for hearables to collect QS quantified self data that capture user intents and thereby provide insights to adjust the settings of the device. In our study 6 participants shared their QS data capturing when they remotely changed their device settings over 6 weeks. The data confirms that the participants preferred to actively change programs rather than use a single default setting provided by an audiologist. Furthermore, their unique usage patterns indicate a need for designing hearing aids, which as hearables adapt their settings dynamically to individual preferences during the day.
Original languageEnglish
Title of host publicationProceedings of the 19th International Conference on Human-Computer Interaction (HCI 2017)
PublisherSpringer Science+Business Media
Publication date2017
Pages39–49
DOIs
Publication statusPublished - 2017
Event19th International Conference on Human-Computer Interaction (HCI 2017) - Vancouver, Canada
Duration: 9 Jul 201714 Jul 2017
Conference number: 19
http://2017.hci.international/index.php

Conference

Conference19th International Conference on Human-Computer Interaction (HCI 2017)
Number19
CountryCanada
CityVancouver
Period09/07/201714/07/2017
Internet address
SeriesLecture Notes in Computer Science
Volume10289
ISSN0302-9743
CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Hearables, Quantiffed self

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