O'Brien, Cara, O'Mara, Molly, Issartel, Johann ORCID: 0000-0003-1016-1409 and McGinn, Conor ORCID: 0000-0001-9019-6809 (2021) Exploring the design space of therapeutic robot companions for children. In: ACM/IEEE International Conference on Human Robot Interaction (HRI ’21), 8 - 11 Mar 2021, Boulder, CO, USA. ISBN 978-1-4503-8289-2
Abstract
Robots that lend social and emotional support to their users have the potential to extend the quality of care that humans can provide. However, developing robotic aids to address symptoms of loneliness, anxiety and social isolation can be especially challenging due to factors that are complex and multi-faceted. Using a user-centered approach, a prototype therapeutic robot, TACO, was developed. The design of this robot was closely informed by a comprehensive need finding process which included a detailed literature review, ethical analysis, interviews with pediatric domain experts, and a site visit to a pediatric hospital. The prototype robot was evaluated over the course of several structured play sessions, using short interviews with children as well as a modified version of the SOFIT testing procedure. Results from early-stage testing suggest that TACO was well-liked, children found playing with it engaging and frequently exhibited affective behaviors like cuddling and stroking. These findings motivate follow-on work to further advance its design and to test its effectiveness as a therapeutic tool.
Metadata
Item Type: | Conference or Workshop Item (Paper) |
---|---|
Event Type: | Conference |
Refereed: | Yes |
Uncontrolled Keywords: | user-centered design; assistive robot; child-robot interaction; ethics canvas |
Subjects: | UNSPECIFIED |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Health and Human Performance |
Published in: | HRI '21: Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction. . Association for Computing Machinery (ACM). ISBN 978-1-4503-8289-2 |
Publisher: | Association for Computing Machinery (ACM) |
Official URL: | https://doi.org/10.1145/3434073.3444669 |
Copyright Information: | © 2021 The Authors (CC-BY 4.0) |
ID Code: | 27846 |
Deposited On: | 11 Oct 2022 11:13 by Thomas Murtagh . Last Modified 10 Jan 2023 15:23 |
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