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AWARE-Light: a smartphone tool for experience sampling and digital phenotyping

van Berkel, Niels; D’Alfonso, Simon; Kurnia Susanto, Rio; Ferreira, Denzil; Kostakos, Vassilis (2022-11-05)

 
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https://doi.org/10.1007/s00779-022-01697-7

van Berkel, Niels
D’Alfonso, Simon
Kurnia Susanto, Rio
Ferreira, Denzil
Kostakos, Vassilis
Springer
05.11.2022

van Berkel, N., D’Alfonso, S., Kurnia Susanto, R. et al. AWARE-Light: a smartphone tool for experience sampling and digital phenotyping. Pers Ubiquit Comput 27, 435–445 (2023). https://doi.org/10.1007/s00779-022-01697-7

https://rightsstatements.org/vocab/InC/1.0/
© The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2022. This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00779-022-01697-7
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1007/s00779-022-01697-7
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https://urn.fi/URN:NBN:fi:oulu-202404232901
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Abstract

Due to their widespread adoption, frequent use, and diverse sensor capabilities, smartphones have become a powerful tool for academic studies focused on sampling human behaviour. While packing many technological advances, the need for researchers to develop their own software packages in order to run smartphone-based studies has resulted in a clear barrier to entry for researchers without the financial means, time, or technical knowledge required to overcome this technical barrier. We present AWARE-Light, a new smartphone application for data collection from study participants, which is accompanied by a website that provides any researcher the possibility to easily configure their own study. To highlight the possibilities of our tool, we present a research scenario on digital phenotyping for mental health. Furthermore, we describe the methodological configuration possibilities offered by our tool, and complement the technical configuration possibilities with recommendations from the existing literature.
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