TSES-R

An Extended Scale for Measuring Parental Expectations toward Robots for Children in Healthcare

Conference Paper (2023)
Author(s)

Feiran Zhang (Norwegian University of Science and Technology (NTNU))

Frank Broz (TU Delft - Electrical Engineering, Mathematics and Computer Science)

Oriana Ferrari (Eindhoven University of Technology)

Emilia Barakova (Eindhoven University of Technology)

Research Group
Interactive Intelligence
DOI related publication
https://doi.org/10.1145/3568294.3580084 Final published version
More Info
expand_more
Publication Year
2023
Language
English
Research Group
Interactive Intelligence
Pages (from-to)
258-262
ISBN (print)
978-1-4503-9970-8
Event
18th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2023 (2023-03-13 - 2023-03-16), Stockholm, Sweden
Downloads counter
275
Collections
Institutional Repository
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

There is a growing interest in implementing robotics applications for children in healthcare to provide companionship, comfort, education, and therapy. Parental expectations regarding robotics for young children play a critical role in influencing its development and acceptance. However, parental expectations are widely overlooked in HRI. Therefore, a better understanding of what parents of young children expect the robot to do in health-related interactions with robots is needed. To achieve this, we adopted the Technology-Specific Expectation Scale (TSES) [2] and added three more dimensions (i.e., assistive role, social-emotional, and playful distraction) to gauge usersf expectations of robots in healthcare, resulting in TSES-R. This paper reports the development and reliability analysis of TSES-R. Furthermore, this paper presents the preliminary results collected from using the TSES-R with a sample of 31 families, which showcases how these outcomes could be helpful for future related studies.