Design at Work: Cooperative Design of Computer Systems
Design at Work: Cooperative Design of Computer Systems
Investigating health management practices of individuals with diabetes
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Activity sensing in the wild: a field trial of ubifit garden
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social fMRI: Investigating and shaping social mechanisms in the real world
Pervasive and Mobile Computing
The MONARCA self-assessment system: a persuasive personal monitoring system for bipolar patients
Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium
Designing mobile health technology for bipolar disorder: a field trial of the monarca system
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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There is a growing interest in personal health technologies that sample behavioral data from a patient and visualize this data back to the patient for increased health awareness. However, a core challenge for patients is often to understand the connection between specific behaviors and health, i.e. to go beyond health awareness to disease insight. This paper presents MONARCA 2.0, which records subjective and objective data from patients suffering from bipolar disorder, processes this, and informs both the patient and clinicians on the importance of the different data items according to the patient's mood. The goal is to provide patients with a increased insight into the parameters influencing the nature of their disease. The paper describes the user-centered design and the technical implementation of the system, as well as findings from an initial field deployment.