Four papers co-authored by researchers at the Center of Excellence for Mobile Sensor Data-to-Knowledge (MD2K) were presented last month at the International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017). held in Maui, Hawaii.
Each of the papers dealt with a different aspect of mobile health (mHealth) research: user engagement, visual analytics, eating detection, and detection of fatigue using computational eyeglasses. In its fourth year of NIH-funded research, MD2K researchers have had more than 200 papers and articles accepted for publication.
The authors of “eWrapper: Operationalizing engagement strategies in mHealth” (citation below) examined the problem of attrition among mHealth app users and proposed a model – eWrapper – that integrates engagement strategies so that they dynamically adapt to the characteristics and responses of mHealth app users. The eWrapper is an “ambient display for a mobile device that enables the implementation and adaptation of a wide variety of engagement strategies grounded in social psychology, marketing, cognitive psychology, behavioral economics and human-computer interaction.” The work described in the paper supports the creation of just-in-time adaptive interventions (JITAI) that seek to increase and maintain engagement in mobile health.