Accepted Papers |
Day of Workshop |
Workshop Notes |
Call for Participation |
Relapse Prevention: Personal Informatics for Clinical Mental Health
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.