A crucial component of event recognition is understanding the
roles that people and objects take: did the boy hit the girl, or
did the girl hit the boy? We often make these categorizations
from visual input, but even when our attention is otherwise
occupied, do we automatically analyze the world in terms of
event structure? In two experiments, participants made speeded
gender judgments for a continuous sequence of male-female
interaction scenes. Even though gender was orthogonal to
event roles (whether the Agent was male or Female, or vice-
versa), a switching cost was observed when the target
character’s role reversed from trial to trial, regardless of
whether the actors, events, or side of the target character
differed. Crucially, this effect held even when nothing in the
task required attention to the relationship between actors. Our
results suggest that extraction of event structure in visual
scenes is a rapid and automatic process.