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Detecting & Visualizing Crisis Events in Human Systems: an mHealth Approach with High Risk Veterans
Zeno Franco
author
Katinka Hooyer
author
Tanvir Roushan
author
Casey O'Brien
author
Nadiyah Johnson
author
Bill Watson
author
Nancy Smith-Watson
author
Bryan Semaan
author
Mark Flower
author
Jim Tasse
author
Sheikh Iqbal Ahamed
author
2018
Rochester Institute of Technology
Rochester, NY (USA)
English
Designing mHealth applications for mental health interventions has largely focused on education and patient self-management. Next generation applications must take on more complex tasks, including sensor-based detection of crisis events, search for individualized early warning signs, and support for crisis intervention. This project examines approaches to integrating multiple worn sensors to detect mental health crisis events in US military veterans. Our work has highlighted several practical and theoretical problems with applying technology to evaluation crises in human system, which are often subtle and difficult to detect, as compared to technological or natural crisis events. Humans often do not recognize when they are in crisis and under-report crises to prevent reputational damage. The current project explores preliminary use of the E4 Empatica wristband to characterize acute aggression using a combination of veteran self-report data on anger, professional actors simulating aggressive events, and preliminary efforts to discriminate between crisis data and early warning sign data.
Mental health crisis
computational psychology
wearable sensors
aggression
veterans
exported from refbase (http://idl.iscram.org/show.php?record=2159), last updated on Mon, 25 Nov 2019 10:09:54 +0100
text
http://idl.iscram.org/files/zenofranco/2018/2159_ZenoFranco_etal2018.pdf
ZenoFranco_etal2018
ISCRAM 2018 Conference Proceedings – 15th International Conference on Information Systems for Crisis Response and Management
Iscram 2018
Kees Boersma
editor
Brian Tomaszeski
editor
ISCRAM 2018 Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management
2018
Rochester Institute of Technology
Rochester, NY (USA)
conference publication
874
885
978-0-692-12760-5
2411-3387
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