Positive affect and heart rate variability: a dynamic analysis.

Traditional survey methods can provide noisy data arising from recall, memory and other biases. Technological advances (particularly in neuroscience) are opening new ways of monitoring physiological processes through non-intrusive means. Such dense continuous data provide new and fruitful avenues for complementing self-reported data with a better understanding of human dynamics and human interactions.

Do parental preferences predict engagement in child health programs?

We evaluate the role of behavioral attributes in predicting engagement in an intervention program. Distinct from the previous studies, we investigate how parental preferences influence their engagement behavior in a health program when the targeted outcomes relate to the health of their children, as opposed to their own. We use an artifactual field experiment where the participants were former parent enrollees in a child health management program in Australia.