Nonverbal behavior reveals a wealth of information during face-to-face social interactions. Implicit physical approach and avoidance have been associated with prejudice, empathy, aggression, and social support. However, assessing these “proxemic” responses is a methodological challenge. Inspired by brain imaging, I’ve developed a new measure that uses motion capture data to create images of nonverbal behavior during a dyadic interaction. Using digital tracking data, it combines distance and gaze patterns to create frequency images of an individual’s own interpersonal space as well as the joint gaze behavior of the two individuals. The publication introducing this method is available here.