Children's Age Influences Their Perceptions of a Humanoid Robot as Being Like a Person or Machine

Models of children’s cognitive development indicate that as children grow, they transition from using behavioral cues to knowledge of biology to determine a target’s animacy. This paper explores the impact of children’s’ ages and a humanoid robot’s expressive behavior on their perceptions of the robot, using a simple, low-demand measure. Results indicate that children’s ages have influence on their perceptions in terms of the robot’s status being a person, a machine, or a composite. Younger children (aged 6) tended to rate the robot as being like a person to a substantially greater extent than older children (aged 7) did. However, additional facially-expressive cues from the robot did not substantively impact on children’s responses. Implications for future HRI studies are discussed.