Measuring Young Children's Long-Term Relationships with Social Robots
Name
KoryWestlund-IDC-2018.pdf
Description
Accepted version
Size
1.62 MB
Format
Adobe PDF
Checksum (MD5)
cafee2112dc43d09810fcc29349d141d
Author(s)
Westlund, Jacqueline M. Kory
Park, Hae Won
Williams, Randi
Breazeal, Cynthia
Date Issued
June 2018
Publisher
ACM
Citation
Westlund, Jacqueline M. Kory, Park, Hae Won, Williams, Randi and Breazeal, Cynthia. 2018. "Measuring Young Children's Long-Term Relationships with Social Robots."
Version
Author's final manuscript
Abstract
© 2018 Association for Computing Machinery. Social robots are increasingly being developed for long-term interactions with children in domains such as healthcare, education, therapy, and entertainment. As such, we need to deeply understand how children's relationships with robots develop through time. However, there are few validated assessments for measuring young children's long-term relationships. In this paper, we present a pilot test of four assessments that we have adapted or created for use in this context with children aged 5-6: the Inclusion of Other in Self task, the Social-Relational Interview, the Narrative Description, and the Self-disclosure Task. We show that children can appropriately respond to these assessments with reasonably high internal reliability, and that the proposed assessments are able to capture child-robot relationship adjustments over a long-term interaction. Furthermore, we discuss gender and population differences in children's responses.
MIT Department
Massachusetts Institute of Technology. Media Laboratory
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3202185.3202732
