Hearables in Hearing Care: Discovering Usage Patterns Through IoT Devices

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10279)


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 instruments offer new opportunities for hearables to collect behavioral data that capture device usage and user intents and thereby provide insights to adjust the settings of the device. In our study 6 participants shared their volume and interaction data capturing when they remotely changed their device settings over eight 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 instruments, which as hearables adapt their settings dynamically to individual preferences during the day.


Hearables Quantified self Usage patterns Behavioral data 



This work is supported by the Technical University of Denmark, Copenhagen Center for Health Technology (cachet) and the Oticon Foundation. We would like to thank Eriksholm Research Centre and Oticon A/S for providing resources and access to test subjects, devices, clinicians, developers and researchers.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Department of Applied Mathematics and Computer ScienceTechnical University of DenmarkKongens LyngbyDenmark
  2. 2.Eriksholm Research CentreSnekkerstenDenmark
  3. 3.Oticon A/SSmørumDenmark

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