Do preschoolers trust a competent robot pointer?

Area of Science:

• Developmental Psychology
• Human-Robot Interaction
• Cognitive Science

Background:

• Existing research on children's learning primarily focuses on verbally conveyed information from human informants.
• Limited understanding exists regarding how children learn from non-human agents or assess informant competence.
• The role of informant accuracy in shaping children's trust and learning is an underexplored area.

Purpose of the Study:

• To investigate how 3-year-old children learn from and trust a competent robot compared to an incompetent human.
• To examine children's sensitivity to informant accuracy established through a pointing paradigm.
• To explore children's reliance on different informants when social cues are minimal.

Main Methods:

• A pointing paradigm was used to establish informant competency: a robot pointed to a toy in a transparent box, while a human pointed to an empty box.
• During the test phase, both agents pointed to opaque boxes, requiring children to rely on prior judgments of competence.
• Children's learning and trust were assessed through questions about seeking help, judging accuracy, and endorsing locations.

Main Results:

• Children asked the robot for help significantly more than the human, indicating a preference for the seemingly more competent informant.
• Young children correctly identified the robot as more accurate in judgment questions compared to the human.
• However, children equally endorsed the locations indicated by both the robot and the human in endorsement questions.

Conclusions:

• Three-year-old children demonstrate sensitivity to the epistemic characteristics (accuracy) of informants, even when social cues are minimal.
• Children's learning and help-seeking behaviors are influenced by their assessment of an informant's competence.
• This study provides insights into the early development of trust and information-seeking strategies in human-robot interactions.