I. Introduction
Gender is an important feature of people-and increasingly of robots, too. Decades of work has shown that people can and do read human characteristics in the design of robots and other agents, even when anthropomorphic cues are subtle. Nass, Brave, Moon, Lee, and colleagues [1], [2] were forerunners in researching this phenomenon. Their work on computer voice led to the Computers Are Social Actors (CASA) model, a widely recognized descriptive paradigm that shows how people tend to react to computer agents that have humanlike characteristics as if they are people, usually unthinkingly and in stereotyped ways. The implications of this early research were vast, spurning studies on gender in robots and other artificial agents [3]–[6].