Abstract
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.
Original language | English (US) |
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Title of host publication | Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018 |
Editors | Brian Tomaszewski, Kees Boersma |
Publisher | Information Systems for Crisis Response and Management, ISCRAM |
Pages | 861-873 |
Number of pages | 13 |
Volume | 2018-May |
ISBN (Electronic) | 9780692127605 |
State | Published - Jan 1 2018 |
Event | 15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018 - Rochester, United States Duration: May 20 2018 → May 23 2018 |
Other
Other | 15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018 |
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Country | United States |
City | Rochester |
Period | 5/20/18 → 5/23/18 |
Keywords
- Aggression
- Computational psychology
- Mental health crisis
- MHealth
- Veterans
- Wearable sensors
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems
- Information Systems and Management
- Electrical and Electronic Engineering