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Lookup NU author(s): David Verweij, Farzaneh FarhadiORCiD, Viana Nijia Zhang, Dr Christopher BullORCiD, Dr Jan SmeddinckORCiD
This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by ACM, 2021.
For re-use rights please refer to the publisher's terms and conditions.
The rapid growth in the range of data measures from wearable and stationary sensing devices has led to the adoption of multiple devices in health research. Such multi-device setups present challenges in sustaining patient engagement to capture continuous and high-quality datasets. One approach is to present health data to patients throughout the study but often occurs upon study completion. We report on preliminary insights from a feasibility study (IDEA-FAST) where multiple devices were used by 141 patients in their free-living environments. Interviews with a subset of patients and clinicians highlight challenges and opportunities around participation, data use and interpretation, including understanding compliance and data explainability with patients. We propose that summarising metadata from device usage could foster engagement and scale across a range of technologies regardless of the specific measures or post-processing algorithms provided by devices.
Author(s): Rainey J, Verweij D, Dodds C, Graeber J, Farhadi F, Ali R, Zhang V, Bull CN, Smeddinck JD
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp-ISWC ’21 Adjunct)
Year of Conference: 2021
Online publication date: 26/09/2021
Acceptance date: 14/07/2021
Date deposited: 04/08/2021
Publisher: ACM
URL: https://doi.org/10.1145/3460418.3479371
DOI: 10.1145/3460418.3479371
Library holdings: Search Newcastle University Library for this item
ISBN: 9781450384612
