In this chapter, we consider newly emerging measurement technologies for intensive monitoring of individual behaviors and physiological responses in a wide range of settings. Our goal is to introduce these wearable assessment systems and the algorithms being used to extract meaningful data summaries from massive amounts of raw multidimensional sensor data. Because the social science community is largely unfamiliar with this new class of longitudinal data, we focus on the opportunities and limitations associated with the intensive longitudinal data generated by these technologies, how they impact study design and subsequent analyses, as well as statistical issues associated with processing such voluminous datasets into meaningful forms.

Context-sensitive ecological momentary assessment, context-aware experience sampling, longitudinal data, pattern recognition.