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Keynote SpeakersTanzeem Choudhury, Cornell University - Tracking behavioral symptoms of mental illness and delivering personalized interventions using smartphones and wearables Abstract: Mobile and ubiquitous computing research has led to new techniques for cheaply, accurately, and continuously collecting data on human behavior that include detailed measurements of physical activities, social interactions and conversations, as well sleep quality and duration. Continuous and unobtrusive sensing of behaviors has tremendous potential to support the lifelong management of mental illnesses by: (1) acting as an early warning system to detect changes in mental well-being, (2) delivering context-aware, personalized micro-interventions to patients when and where they need them, and (3) by significantly accelerating patient understanding of their illness. In this presentation, I will give an overview of our work on turning sensor-enabled mobile devices into well-being monitors and instruments for administering real-time/real-place interventions. Jakob E. Bardram, IT University of Copenhagen - What is the role of Personal Health Technology in Mental Health for the Elderly? Abstract: Mental disorders and especially depression impose a high societal burden in terms of cost, lost productivity, morbidity, suffering, and mortality. Clinical depression in the elderly is common. The US National Institute of Mental Health (NIMH) considers depression in people age 65 and older to be a major public health problem. However, only 10% receive treatment for depression. Moreover, in the elderly, depression often occurs with -- and worsen -- other medical illnesses and disabilities (comorbidity) and lasts longer. Personal Health Technology that supports ecological assessment of behavior and mental health combined with context-aware therapeutic feedback can play a core role in helping elders to manage untreated depression. Studies have shown, that there is a high correlation between behavior traits collected in a semi-automatic fashion from ordinary smartphones and the degree of depression. Moreover, such correlations have shown to be useful for prediction of depressive episodes. In this talk, I will share our experience in designing and evaluating personal health technology for metal disorders with a focus on elderly users. Based on our results from behavior sampling and mood forecasting, I will discuss how to design personal health technology for mental health, with a specific focus on the design space of the elderly population. BiosTanzeem Choudhury is an associate professor in Computing and Information Sciences and directs the People-Aware Computing group at Cornell University, which develops mobile sensing systems for understanding life patterns of individuals, groups, and societies. Her primary research interests are in mobile sensing of health and ubiquitous computing, especially focusing on changing the way mental health is diagnosed and treated by creating novel wearable and mobile systems that continuously track mental wellbeing. She is a co-founder of HealthRhythms that aims to bring novel technological solutions to facilitate mental wellbeing. Dr. Choudhury received her Ph.D. degree from the Media Laboratory at the Massachusetts Institute of Technology (MIT). As part of her doctoral work, she created the sociometer and conducted the first experiment that uses mobile sensors to model social networks, which led to a new field of research referred to as Reality Mining. She holds a B.S. in electrical engineering from the University of Rochester, and M.S. from the MIT Media Laboratory. Dr. Choudhury is the recipient of MIT Technology Review TR35 award, an NSF Career Award, a TED fellowship, and an NSF Kavli Fellowship. For more information visit: http://pac.cs.cornell.edu and follow the group's work on twitter @pac_cornell. Jakob E. Bardram is a Professor at the IT University of Copenhagen (ITU) where he direct the Pervasive Interaction Technology Laboratory (PIT Lab). He received his PhD in computer science in 1998 from the University of Aarhus, Denmark. His research interests include Ubiquitous Computing, Object Oriented Software Architecture, Computer Supported Cooperative Work (CSCW); and Human-Computer Interaction (HCI). He co-founded of Cetrea A/S (pervasive computing technology for hospitals), Monsenso ApS (personal health technology for mental disorders), and held positions at IBM Denmark and CSC Scandihealth. He has co-edited a book on Pervasive Healthcare and a special issue of Pervasive Healthcare in the IEEE Trans. on Information Technology in Biomedicine. He has served on numerous program and organizing committees for both ACM and IEEE conferences, and was a co-chair for UBICOMP'10. Dr. Bardram has been awarded the 2012 Informatics Europe Curriculum Award for the Pervasive Computing Curriculum that he runs at the IT University of Copenhagen. |
