MoodRhythm

Description:
Rhythms guide our lives. Our biological clocks tell us when we need to sleep, eat and wake. But our use of technology can interrupt and obstruct these rhythms, making it difficult for our bodies to get what they need to stay healthy and balanced. MoodRhythm helps individuals with bipolar disorder to live a more naturally rhythmic day, ensuring that they can maintain balanced and healthy lives. It is based on a clinically validated therapy, Interpersonal Social Rhythm Therapy, developed by Dr. Ellen Frank at University of Pittsburgh. The key goals of MoodRhythm are to use patients’ smartphones to both actively and passively track daily rhythms and to provide affective feedback that can help patients to maintain a regular daily rhythm, while feeding this clinically valuable information back to their physicians.

People:
Mark Matthews, Geri Gay, Tanzeem Choudhury, Saeed Abdullah, Steve Voida, Elizabeth Murnane, Jaime Snyder, Mi Zhang, Mashfiqui Rabbi, Mengxi Chi, Donald Hu, Robert Guo, Ian Perry, Qianying Zhang, Sangha Im, Xirong Ye

Funding: 
European Union Marie Curie Fellowship 2012-15
Bronfenbrenner Center for Translational Research 2013-14

Awards:
Winner of the 2013 Open mHealth Challenge

Publications: 

Matthews, M., Murnane, E. L., Snyder, J. (2017). Quantifying the Changeable Self: The role of self-tracking in coming to terms with and managing bipolar disorder. Human-Computer Interaction. (To appear).

Matthews, M., Murnane, E. L., Snyder, J., Guha, S., Chang, P., Doherty, G., Gay, G. (2017). The Double-Edged Sword: A Mixed Methods Study of the Interplay Between Bipolar Disorder and Technology Use. Computers in Human Behavior. (To appear).

Matthews, M., Abdullah, S., Murnane, E. L., Voida, S., Choudhury, T., Gay, G., Frank, E. (2016). Development and evaluation of a smartphone-based measure of social rhythms for bipolar disorder. Journal of Assessment, 23(4), pp 472-483. [ Sage | PDF ]

Murnane, E. L., Cosley, D., Chang, P., Guha, S., Frank, E., Gay, G., Matthews, M. (2016). Self-Monitoring Practices, Attitudes, and Needs of Individuals with Bipolar Disorder: Implications for the Design of Technologies to Manage Mental Health. Journal of the American Medical Informatics Association (JAMIA), 23(3), pp 477-484. [ Oxford | PDF ]

Murnane, Elizabeth L., Matthews, M., Gay, G. (2016). Opportunities for Technology in the Self-Management of Mental Health. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct (MobileHCI’16). pp 1093-1096. [ ACM | PDF ]

Matthews, M., Abdullah, S., Gay, G., & Choudhury, T. (2014). Tracking Mental Well-Being: Striking the Right Balance between Rich Sensing and Patient Needs. IEEE Computer, 47(4), 36-43. [ IEEE | PDF ]

Frank. E, Matthews, M., Choudhury, T., Voida, S., Abdullah, S., (2013). Developing a Smart Phone App to Monitor Mood, Social Rhythms, Sleep and Social Activity: Technology to Support Effective Management of Bipolar Disorder. Accepted Poster to American College of Neuropsychopharmacology.

Voida, S., Choudhury, T., Gay, G., Matthews, M., Adams, P., Rabbi, M., Pollak, J.P., Chi, M., Green, M., Lu, H., Lane, N.D., Lin, M. & Campbell, A.T. (2013). Personal informatics can be stressful: Collecting, reflecting, and embedding stress data in personal informatics. Position paper for the CHI 2013 workshop on Personal Informatics in the Wild: Hacking Habits for Health & Happiness, Paris, France, April 27–28. [ CiteSeer | PDF ]

Voida, S., Matthews, M., Abdullah, S., Chi, M., Green, M., Jang, W.J., Hu, D., Weinrich, J., Patil, P., Rabbi, M., Rahman, T., Gay, G., Frank, E. & Choudhury, T. (2013). MoodRhythm: Tracking and supporting daily rhythms. Interactive demonstration presented at the ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), Zürich, Switzerland, September 8–12. [ ACM | PDF ]

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