Consumer Smartwatches for Collecting Self-Report and Sensor Data: App Design and Engagement

Anna L Beukenhorst; Jamie C Sergeant; Max A Little; John McBeth; William G Dixon

doi:10.3233/978-1-61499-852-5-291

Consumer Smartwatches for Collecting Self-Report and Sensor Data: App Design and Engagement

Anna L Beukenhorst, Jamie C Sergeant, Max A Little, John McBeth, William G Dixon

Research output: Contribution to journal › Article › peer-review

Abstract

Longitudinal data from patients' natural environments would benefit chronic disease care, yet most devices cannot collect sensor data alongside patient-reported outcomes. Here we describe Koalap, a consumer cellular smartwatch application that collects patient-reported outcomes alongside physical activity data from various sensors. Additionally, we show preliminary results indicating high engagement of our 26 participants with knee osteoarthritis. Our future work will show whether data collection with consumer smartwatches is feasible in terms of user engagement, acceptability, data quality and consistency.

Original language	English
Pages (from-to)	291-295
Number of pages	5
Journal	Studies in health technology and informatics
Volume	247
DOIs	https://doi.org/10.3233/978-1-61499-852-5-291
Publication status	Published - 31 Jan 2018

Bibliographical note

© 2018 European Federation for Medical Informatics (EFMI) and IOS Press.
This article is published online with Open Access by IOS Press and distributed under the terms
of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0)

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10.3233/978-1-61499-852-5-291Licence: CC BY-NC 3.0

Consumer Smartwatches for Collecting Self-Report and Sensor Data
© 2018 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0)
Final published version, 552 KBLicence: CC BY-NC 3.0

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AU - McBeth, John

AU - Dixon, William G

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AB - Longitudinal data from patients' natural environments would benefit chronic disease care, yet most devices cannot collect sensor data alongside patient-reported outcomes. Here we describe Koalap, a consumer cellular smartwatch application that collects patient-reported outcomes alongside physical activity data from various sensors. Additionally, we show preliminary results indicating high engagement of our 26 participants with knee osteoarthritis. Our future work will show whether data collection with consumer smartwatches is feasible in terms of user engagement, acceptability, data quality and consistency.

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Consumer Smartwatches for Collecting Self-Report and Sensor Data: App Design and Engagement

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