Visualizing Bipolar

Matthews, M., Murnane, E., Snyder, J., Guha, S., Chang, P. F., Doherty, G., and Gay, G. (2017). Double-Edged Sword: A Mixed Methods Study of the Interplay Between Bipolar Disorder and Technology Use. Computers in Human Behavior, 75, pp. 288-300..

Matthews, M., Murnane, E., and Snyder, J. (April, 2017). Quantifying the Changeable Self: The role of self-tracking in coming to terms with and managing bipolar disorder. Human–Computer Interaction, special issue on “The examined life: Personal uses for personal data” ed. by Dan Cosley, Elizabeth Churchill, Jodi Forlizzi, and Sean Munson, pp. 1-34.

Snyder, J., Shilton, K., Anderson, S. (2016). Observing the Materiality of Values in Information Systems Research. Proc of HICSS 2016, 2017-2026. Best Paper Nomination.

Matthews, M., Abdullah, S., Murnane, E.Voida, S., Choudhury, T., Gay, G., & Frank, E. (2016, August). Development and evaluation of a smartphone-based measure of social rhythms for bipolar disorderAssessment 23(4), 472–483.

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, 23(3), 477-484.

Matthews, M.Voida, S., Abdullah, S., Doherty, G., Choudhury, T., Im, S., & Gay, G. (2015). In situ design for mental illness: Considering the pathology of bipolar disorder in mHealth design. In Proceedings of the 17th International Conference on Human–Computer Interaction with Mobile Devices and Services (MobileHCI 2015, pp. 86–97), Copenhagen, Denmark, August 24–7. ACM Press.

Matthews, M., Snyder, J., Reynolds, L., Chien, J., Shih, A, Lee, J., and Gay, G. (2015). MoodLight: Real-Time Representation Versus Response Elicitation in Biosensor Data. Note in Proc ACM SIGCHI, 605-608.

Snyder, J., Matthew, M., Chien, J., Chang, P.F., Abdullah, S., Sun, E. and Gay, G. (2015). MoodLight: Exploring Personal and Social Implications of Ambient Display of Biosensor Data. Proc ACM CSCW, 143-153.

Snyder, J. and Matthews, M. (2015). Visualizing Temporality in Biological Rhythms. Paper presented at the Annual Meeting of the Society for Social Studies of Science (4S), Denver, CO, November 11–14.

Snyder, J. (2014). Visual Representation of Information as Communicative Practice. Journal of the American Society for Information Science and Technology (JASIST), 65(11), 2233-2247.

Snyder, J., Baumer, E.P.S., Voida, S., Adams, P., Halpern, M., Choudhury, T. and Gay, G. (2014). Making Things Visible: Opportunities and Tensions in Visual Approaches for Design Research and Practice. Human Computer Interaction, special issue on Design Thinking, ed. Jack Carroll and Scott Klemmer, 29(5-6), 451-486.

Adams, P., Rabbi, M., Rahman, T., Matthews, M., Voida, A., Gay, G., Choudhury, T., & Voida, S. (2014). Towards personal stress informatics: Comparing minimally invasive techniques for measuring daily stress in the wild. In Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2014, pp. 72–79), Oldenburg, Germany, May 20–23. ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering).

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. In Neuropsychopharmacology (Vol. 38, pp. S230-S231). Nature Publishing Group.