@inproceedings{559828abe2ac4277b468e7d514cd77cc,
title = "DEMONS: An integrated framework for examining associations between physiology and self-reported affect tied to depressive symptoms",
abstract = "Depression is a prevalent and debilitating disorder among college students. Advances in mobile technology afford the opportunity to collect heterogeneous data while people are in their natural settings. The aim of the current paper is to propose an integrated framework, DEMONS (DEpression MONitoring Study), for combining passive and active data sources using a wearable sensor and a smartphone application. The ability to combine passive and active longitudinal data with mobile devices allows for better understanding of the temporal relations between self-reported affect and physiological variables (e.g., heart rate variability) linked to depressive symptoms. Adoption of the proposed framework will provide crucial information regarding the development and maintenance of depression in college students, as well as increased opportunities for early detection and intervention.",
keywords = "Depression, Ecological momentary assessment, Mobile health, Smartphone sensing",
author = "Philip Chow and Karl Fua and Wesley Bonelli and Teachman, \{Bethany A.\} and Yu Huang and Barnes, \{Laura E.\}",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2016 ; Conference date: 12-09-2016 Through 16-09-2016",
year = "2016",
month = sep,
day = "12",
doi = "10.1145/2968219.2968300",
language = "English",
series = "UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
publisher = "Association for Computing Machinery, Inc",
pages = "1139--1143",
booktitle = "UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing",
}