Getting Acquainted for a Long-Term Child-Robot Interaction

Conference Paper (2019)
Authors

Mike E.U. Ligthart (Vrije Universiteit Amsterdam)

M.A. Neerincx (TNO, TU Delft - Interactive Intelligence)

K. Hindriks (Vrije Universiteit Amsterdam)

Research Group
Interactive Intelligence
To reference this document use:
https://doi.org/10.1007/978-3-030-35888-4_39
More Info
expand_more
Publication Year
2019
Language
English
Research Group
Interactive Intelligence
Pages (from-to)
423-433
ISBN (print)
9783030358877
DOI:
https://doi.org/10.1007/978-3-030-35888-4_39

Abstract

We are developing a social robot that should autonomously interact long-term with pediatric oncology patients. The child and the robot need to get acquainted with one another before a long-term interaction can take place. We designed five interaction design patterns and two sets of robot behaviors to structure a getting acquainted interaction. We discuss the results of a user study (N = 75, 8–11 y.o.) evaluating these patterns and robot behaviors. Specifically, we are exploring whether the children successfully got acquainted with the robot and to what extent the children bonded with the robot. Results show that children effectively picked up how to talk to the robot. This is important, because the better the performance the more comfortable the children are, the more socially attractive the robot is, and the more intimate the conversation gets. The evaluation furthermore revealed that it is important for children, in order to get familiar with the robot, to have shared interests with the robot. Finally, most children did initiate a bond with the robot.

No files available

Metadata only record. There are no files for this record.