ECE SEMINAR: Understanding Human Behavior with Personal Computing Devices
To increase access to patients in need of mental health care, practitioners are opting for mHealth tools and applications. Although these applications and tools are no true replacement for traditional mental health care services, they have been critical in providing support to individuals experiencing low to moderate anxiety and depression. In this talk, we will walk through our qualitative study with users of the text message intervention service, Cope Notes, which sends SMS text messages that encourage cognitive reframing, reflection, and positive behaviors to users daily. We performed qualitative interviews to gain insight into the user experience and the user perceptions of leveraging ubiquitous sensing to tailor these messages and provide just-in-time support. While over 70% of participants had positive reactions to the idea of this service, over half expressed concerns about the collection of sensor data to provide this service. These results motivate the investigation of smartphone features that are privacy-preserving and best suited for mood detection. In this talk, we present the results of these experiments as well, along with a brief overview of ongoing research conducted in the Cyber Identity and Behavior Research Lab that also leverages smartphone sensing for understanding human behavior, particularly for the purpose of biometric recognition.