TY - JOUR
T1 - A Robot Is Not Worth Another: Exploring Children’s Mental State Attribution to Different Humanoid Robots
AU - Manzi, Federico
AU - Peretti, Giulia
AU - Di Dio, Cinzia
AU - Cangelosi, Angelo
AU - Itakura, Shoji
AU - Kanda, Takayuki
AU - Ishiguro, Hiroshi
AU - Massaro, Davide
AU - Marchetti, Antonella
PY - 2020
Y1 - 2020
N2 - Recent technological developments in robotics has driven the design and production of different humanoid robots. Several studies have highlighted that the presence of human- like physical features could lead both adults and children to anthropomorphize the robots. In the present study we aimed to compare the attribution of mental states to two humanoid robots, NAO and Robovie, which differed in the degree of anthropomorphism. Children aged 5, 7, and 9 years were required to attribute mental states to the NAO robot, which presents more human-like characteristics compared to the Robovie robot, whose physical features look more mechanical. The results on mental state attribution as a function of children’s age and robot type showed that 5-year-olds have a greater tendency to anthropomorphize robots than older children, regardless of the type of robot. Moreover, the findings revealed that, although children aged 7 and 9 years attributed a certain degree of human-like mental features to both robots, they attributed greater mental states to NAO than Robovie compared to younger children. These results generally show that children tend to anthropomorphize humanoid robots that also present some mechanical characteristics, such as Robovie. Nevertheless, age-related differences showed that they should be endowed with physical characteristics closely resembling human ones to increase older children’s perception of human likeness. These findings have important implications for the design of robots, which also needs to consider the user’s target age, as well as for the generalizability issue of research findings that are commonly associated with the use of specific types of robots.
AB - Recent technological developments in robotics has driven the design and production of different humanoid robots. Several studies have highlighted that the presence of human- like physical features could lead both adults and children to anthropomorphize the robots. In the present study we aimed to compare the attribution of mental states to two humanoid robots, NAO and Robovie, which differed in the degree of anthropomorphism. Children aged 5, 7, and 9 years were required to attribute mental states to the NAO robot, which presents more human-like characteristics compared to the Robovie robot, whose physical features look more mechanical. The results on mental state attribution as a function of children’s age and robot type showed that 5-year-olds have a greater tendency to anthropomorphize robots than older children, regardless of the type of robot. Moreover, the findings revealed that, although children aged 7 and 9 years attributed a certain degree of human-like mental features to both robots, they attributed greater mental states to NAO than Robovie compared to younger children. These results generally show that children tend to anthropomorphize humanoid robots that also present some mechanical characteristics, such as Robovie. Nevertheless, age-related differences showed that they should be endowed with physical characteristics closely resembling human ones to increase older children’s perception of human likeness. These findings have important implications for the design of robots, which also needs to consider the user’s target age, as well as for the generalizability issue of research findings that are commonly associated with the use of specific types of robots.
KW - anthropomorphism
KW - children
KW - child–robot interaction (cHRI)
KW - differences among robots
KW - humanoid and anthropomorphic robots
KW - mental states attribution
KW - social robots
KW - anthropomorphism
KW - children
KW - child–robot interaction (cHRI)
KW - differences among robots
KW - humanoid and anthropomorphic robots
KW - mental states attribution
KW - social robots
UR - http://hdl.handle.net/10807/161275
U2 - 10.3389/fpsyg.2020.02011
DO - 10.3389/fpsyg.2020.02011
M3 - Article
SN - 1664-1078
VL - 11
SP - 1
EP - 12
JO - Frontiers in Psychology
JF - Frontiers in Psychology
ER -