Title
Getting Acquainted for a Long-Term Child-Robot Interaction
Author
Ligthart, M.
Neerincx, M.A.
Hindriks, K.V.
Publication year
2019
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. © 2019, Springer Nature Switzerland AG.
Subject
Bonding
Child-robot interaction
Getting acquainted
Bonding
Robotics
Robots
Child-robot interactions
Getting acquainted
Interaction design patterns
Long-term interaction
Pediatric oncology
Robot behavior
Social robots
User study
Machine design
To reference this document use:
http://resolver.tudelft.nl/uuid:dc8b786f-b92f-4483-8c9a-5f3d7c732a90
DOI
https://doi.org/10.1007/978-3-030-35888-4_39
TNO identifier
871901
Publisher
Springer
ISBN
9783030358877
ISSN
0302-9743
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 11th International Conference on Social Robotics, ICSR 2019, 26 November 2019 through 29 November 2019, 423-433
Document type
conference paper