Detecting & visualizing crisis events in human systems: An mHealth approach with high risk veterans

Zeno E. Franco, Katinka Hooyer, Tanvir Roushan, Casey O’Brien, Nadiyah Johnson, Bill Watson, Nancy Smith-Watson, Bryan Semaan, Mark Flower, Jim Tasse, Sheikh Iqbal Ahamed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

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 languageEnglish (US)
Title of host publicationConference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018
EditorsBrian Tomaszewski, Kees Boersma
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages861-873
Number of pages13
Volume2018-May
ISBN (Electronic)9780692127605
StatePublished - Jan 1 2018
Event15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018 - Rochester, United States
Duration: May 20 2018May 23 2018

Other

Other15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018
CountryUnited States
CityRochester
Period5/20/185/23/18

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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

Cite this

Franco, Z. E., Hooyer, K., Roushan, T., O’Brien, C., Johnson, N., Watson, B., Smith-Watson, N., Semaan, B., Flower, M., Tasse, J., & Ahamed, S. I. (2018). Detecting & visualizing crisis events in human systems: An mHealth approach with high risk veterans. In B. Tomaszewski, & K. Boersma (Eds.), Conference Proceedings - 15th International Conference on Information Systems for Crisis Response and Management, ISCRAM 2018 (Vol. 2018-May, pp. 861-873). Information Systems for Crisis Response and Management, ISCRAM.