Monday, March 25 at 11:00am to 12:00pm
Seeley G. Mudd Building (SGM), 460
Los Angeles, CA 90089
Assistant Professor, Human Development and Family Studies
Pennsylvania State University
Net Effects: How does thinking in networks change the way we understand and measure emotion?
Network modeling has become increasingly popular in recent years,
driven by strong successes in psychopathology. The study of emotion
is no exception, and network models of emotion have begun to appear
more commonly as well, with a specific focus on modeling the change
and regulation of emotions as they are measured in everyday life (e.g.
via smartphones and wearables). Yet there remains a persistent gap in
theoretical interpretation; it is difficult to understand where these
models supplement or challenge existing theories of emotion and
emotion regulation. In this talk, I discuss the implications of a network
model of emotion for theory and measurement, highlighting both
concerns about the assumptions required and the novel (and hopefully
testable) predictions that are implied.