Detecting personal familiarity depends on static frames in "thin slices" of behavior.

Brief glimpses of nonverbal behavior (or "thin slices") offer ample visual information to make reliable judgments about individuals. Previous work has largely focused on the personality characteristics and traits of individuals; however, the nature of dyadic relationships (strangers, lovers, or friends) can also be determined (Ambady & Gray, Journal of Personality and Social Psychology, 83, 947-961 2002). Judgments from thin slices are known to be accurate, but the motion features supporting accurate performance are unknown. We explored whether personal familiarity was detectable within the context of "thin slices" of genuine interaction, as well as the invariant properties of thin-slice recognition. In two experiments, participants sequentially viewed two 6-s silent videos on each trial of an individual interacting with an unfamiliar partner; the other depicted the same person interacting with a personally familiar partner. All sequences were cropped so that only the target individual was visible. In Experiment 1, participants viewed either the original sequences, reversed sequences, a static-image "slideshow" of the sequence, or a static-image slideshow with blank frames separating the images. In Experiment 2, all participants viewed the original sequences and clips played at either double speed or half speed. Participants' performance was above chance in the forward and reverse conditions, but was significantly better in both the static-image slideshow conditions. When task speed was manipulated, we found a larger performance cost for fast than for slow videos. Detecting personal familiarity via spontaneous natural gestures depends on information in static images more than on face or body movement. Although static images are typically less important for recognizing nonverbal behavior, we argue they may be valuable for making familiarity judgments from thin slices.