Personal Informatics & HCI: Design, Theory, & Social Implications — CHI 2011 Workshop

Personal Informatics & HCI: Design, Theory, & Social Implications

Accepted Papers | Day of Workshop | Workshop Notes | Call for Participation | Organizers

Relapse Prevention: Personal Informatics for Clinical Mental Health
Mark Matthews

Recent years has seen an increase in the development of tools to support reflection and increase self- awareness. However, despite the apparent relevance of these technologies to helping people with serious mental health problems in clinical settings, there has been little work to date. Bipolar Disorder is a serious clinical mental disorder typified by a cycle between highs and lows. It requires life-long management involving careful monitoring of personal symptoms and activities. Signal events, warning signs that a relapse is about to occur, if reported can help prevent relapse. Typically, this information is not reported. The goal of this project is to develop a tool to help individuals, their families and therapists identify life patterns that can lead to relapse in order to prevent it. This tool will involve 3 main sources of information: self-recorded data, sensor information and soft-sensors and data from the person's social group. There is considerable potential for the well considered application of existing monitoring technologies to provide effective and relatively low-cost supports to individuals with serious mental health disorders.




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Organized by

Ian Li | Anind Dey | Jodi Forlizzi
Kristina Höök | Yevgeniy Medynskiy


  • Papers Due  February 11, 2011
  • Notification  March 15, 2011
  • Workshop  May 7, 2011

CHI 2011

CHI 2011
May 7–12, 2011
Vancouver, BC, Canada

Created by Ian Li. HCII, Carnegie Mellon University.