5th International ICST Conference on Pervasive Computing Technologies for Healthcare

Research Article

A Framework for Overcoming Challenges in Designing Persuasive Monitoring and Feedback Systems for Mental Illness

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2011.246097,
        author={Gabriela Marcu and Jakob Bardram and Silvia Gabrielli},
        title={A Framework for Overcoming Challenges in Designing Persuasive Monitoring and Feedback Systems for Mental Illness},
        proceedings={5th International ICST Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2012},
        month={4},
        keywords={bipolar disorder mental illness management user-centered design personal monitoring systems},
        doi={10.4108/icst.pervasivehealth.2011.246097}
    }
    
  • Gabriela Marcu
    Jakob Bardram
    Silvia Gabrielli
    Year: 2012
    A Framework for Overcoming Challenges in Designing Persuasive Monitoring and Feedback Systems for Mental Illness
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2011.246097
Gabriela Marcu1,*, Jakob Bardram2, Silvia Gabrielli3
  • 1: Carnegie Mellon University
  • 2: IT University of Copenhagen
  • 3: CREATE-NET
*Contact email: gmarcu@cs.cmu.edu

Abstract

Persuasive personal monitoring and feedback systems could help patients and clinicians manage mental illness. Mental illness is complex, difficult to treat, and carries social stigma. From a review of literature on bipolar disorder and interviews with bipolar disorder experts, we developed a framework for designing a persuasive monitoring system to support management of the illness. The framework applies a user-centered design process that is especially sensitive to the complexity of the illness, the difficulty of treatment, its stigma, and the goals of patients and clinicians. We describe our application of this framework to designing a persuasive mobile phone monitoring system. We discuss how our use of the framework can help overcome the special challenges posed by designing systems for mental illness: (1) accommodating a complex array of symptoms, (2) supporting an uncertain treatment process, and (3) maintaining a high level of sensitivity to the seriousness and darkness of the illness, as well as the social stigma associated with it.