Developing dynamic models of well-being
In my lab we conduct ecological momentary assessment studies to collect intensive longitudinal data consisting of self-reported measures of people’s emotional experiences and cognitive evaluations of their daily life. We also integrate wearable technology into this design to study how characteristics of change over time in affective and cognitive well-being elements can be modeled together with variation in physiological indicators. We use Empatica’s E4 device to measure physiological variables, such as blood volume pulse and electrodermal activity, via passive monitoring. By combining cognitive psychometric techniques and dynamical systems modeling, the goal is to unpack the mechanisms, pathways, and synchronicity dynamics of emotional and cognitive elements of well-being. Moreover, we explore how person-specific patterns in the physiological variables can improve understanding of changes in self-reported well-being measures, and provide for deployment of real-time interventions.