from 04:00 PM to 05:00 PM
Using mobile technologies to more rapidly and accurately assess and modify behavior, biological states and contextual variables has great potential to transform medical research. Recent advances in mobile technologies and the ubiquitous nature of these technologies in daily life (e.g., smart phones, sensors) have created opportunities for research applications that were not previously possible (e.g., simultaneously assessing behavioral, physiological, and psychological states in the real world and in real-time). The use of mobile technology affords numerous methodological advantages over traditional methods, including reduced memory bias, the ability to capture time-intensive longitudinal data, date- and time-stamped data, and the potential for personalizing information in real-time. However, challenges in mobile health (or mHealth) research exist. Importantly, much of the work being done in mHealth arises from single disciplines without integration of the behavioral, social sciences, clinical research, and technical fields. Without integration, mobile technologies will not be maximally effective.