Hearables in hearing care: discovering usage patterns through IoT devices

Benjamin Johansen; Yannis Paul Raymond  Flet-Berliac; Maciej Jan Korzepa; Michael Kai Petersen; Jakob Eg Larsen

doi:10.1007/978-3-319-58700-4 4

Hearables in hearing care: discovering usage patterns through IoT devices

Benjamin Johansen, Yannis Paul Raymond Flet-Berliac, Maciej Jan Korzepa, Michael Kai Petersen, Jakob Eg Larsen

Technical University of Denmark

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

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 language	English
Title of host publication	Proceedings of the 19th International Conference on Human-Computer Interaction (HCI 2017)
Publisher	Springer Science+Business Media
Publication date	2017
Pages	39–49
DOIs	https://doi.org/10.1007/978-3-319-58700-4 4
Publication status	Published - 2017
Event	19th International Conference on Human-Computer Interaction (HCI 2017) - Vancouver, Canada Duration: 9 Jul 2017 → 14 Jul 2017 Conference number: 19 http://2017.hci.international/index.php

Conference

Conference	19th International Conference on Human-Computer Interaction (HCI 2017)
Number	19
Country/Territory	Canada
City	Vancouver
Period	09/07/2017 → 14/07/2017
Internet address	http://2017.hci.international/index.php

Series	Lecture Notes in Computer Science
Volume	10289
ISSN	0302-9743

Keywords

Hearables
Quantiffed self

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1007/978-3-319-58700-4 4

Hearables in Hearing Care Discovering Usage Patterns Through IoT DevicesSubmitted manuscript, 567 KB

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title = "Hearables in hearing care: discovering usage patterns through IoT devices",

abstract = "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.",

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author = "Benjamin Johansen and Flet-Berliac, {Yannis Paul Raymond} and Korzepa, {Maciej Jan} and Petersen, {Michael Kai} and Larsen, {Jakob Eg}",

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publisher = "Springer Science+Business Media",

pages = "39–49",

booktitle = "Proceedings of the 19th International Conference on Human-Computer Interaction (HCI 2017)",

address = "United States",

note = "19th International Conference on Human-Computer Interaction (HCI 2017), HCI 2017 ; Conference date: 09-07-2017 Through 14-07-2017",

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Johansen, B, Flet-Berliac, YPR, Korzepa, MJ, Petersen, MK & Larsen, JE 2017, Hearables in hearing care: discovering usage patterns through IoT devices. in Proceedings of the 19th International Conference on Human-Computer Interaction (HCI 2017). Springer Science+Business Media, Lecture Notes in Computer Science, vol. 10289, pp. 39–49, 19th International Conference on Human-Computer Interaction (HCI 2017), Vancouver, Canada, 09/07/2017. https://doi.org/10.1007/978-3-319-58700-4 4

Hearables in hearing care: discovering usage patterns through IoT devices. / Johansen, Benjamin; Flet-Berliac, Yannis Paul Raymond ; Korzepa, Maciej Jan et al.
Proceedings of the 19th International Conference on Human-Computer Interaction (HCI 2017). Springer Science+Business Media, 2017. p. 39–49 (Lecture Notes in Computer Science, Vol. 10289).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Hearables in hearing care: discovering usage patterns through IoT devices

Abstract

Conference

Keywords

UN SDGs

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