TitleChildren and robots learning to play hide and seek
Publication TypeConference Paper
Year of Publication2006
AuthorsTrafton, JG, Schultz, AC, Perzanowski, D, Adams, W, Bugajska, MD, Cassimatis, N, Brock, DP
EditorSchultz, AC, Goodrich, MA
Conference NameProceedings of the 2006 ACM conference on human-robot interaction
PublisherACM press
Abstract

How do children learn how to play hide and seek? At age 3-4,
children do not typically have perspective taking ability, so their
hiding ability should be extremely limited. We show through a
case study that a 3 1/2 year old child can, in fact, play a credible
game of hide and seek, even though she does not seem to have
perspective taking ability. We propose that children are able to
learn how to play hide and seek by learning the features and
relations of objects (e.g., containment, under) and use that
information to play a credible game of hide and seek. We model
this hypothesis within the ACT-R cognitive architecture and put
the model on a robot, which is able to mimic the child's hiding
behavior. We also take the “hiding” model and use it as the basis
for a “seeking” model. We suggest that using the same
representations and procedures that a person uses allows better
interaction between the human and robotic system.

Full Text
NRL Publication Release Number: 
04-1221.1-0458
pub_tags: 
cognitive robotics
HRI