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. In this study, we use a survey to collect positive affect (feelings) data from more than 300 individuals over a period of 24 h, and at the same time, map their core activities (5000 recorded activities in total) with measurements of their heart rate variability (HRV). Our results indicate a robust correlation between the HRV measurements and self-reported affect. By drawing on the neuroscience and wellbeing literature we show that dynamic HRV results are what we expect for positive affect, particularly when performing activities like sleep, travel, work, exercise and eating. This research provides new insights into how to collect HRV data, model and interpret it.

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. Our findings suggest that parents' time preference and risk tolerance are robust predictors of engagement, measured by program attendance. Attendance is positively associated with patience and risk tolerance in the health domain, after controlling for a host of personality traits and socioeconomic factors. By improving our understanding of the behavioral risk factors for attrition, these findings offer important insights for enhancing participant engagement in intervention programs that are beset with the problem of high attrition.