@inproceedings{1432ffe8dd094159832858968e4a08c0,
title = "Exploring the Effect of Mass Customization on User Acceptance of Socially Assistive Robots (SARs)",
abstract = "This study examines whether allowing a certain level of user customization of a socially assistive robot (SAR) affects users' perception of the robot and improves acceptance. Two hundred thirty-nine respondents participated in an online study of a telepresence-assistive robot. We formed three groups of respondents who differed in their ability to manipulate the SAR design. Results suggested that allowing mass customization positively affects users' acceptance of the SAR, perceived enjoyment, intention for future use, and perceived robot usefulness.",
keywords = "Assistive robot, Human-robot interaction, Mass customization, Product design, Technology acceptance, User attachment, User enjoyment",
author = "Ela Liberman-Pincu and Tal Oron-Gilad",
note = "Funding Information: This research was supported by Ministry of Innovation, Science and Technology, Israel (grant 3-15625), and by Ben-Gurion University of the Negev through the Helmsley Charitable Trust, the Agricultural, Biological and Cognitive Robotics Initiative, the W. Gunther Plaut Chair in Manufacturing Engineering and by the George Shrut Chair in Human performance management. Publisher Copyright: {\textcopyright} 2022 IEEE.; 17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 ; Conference date: 07-03-2022 Through 10-03-2022",
year = "2022",
month = mar,
doi = "10.1109/HRI53351.2022.9889466",
language = "English",
series = "ACM/IEEE International Conference on Human-Robot Interaction",
publisher = "Institute of Electrical and Electronics Engineers",
pages = "880--884",
booktitle = "HRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction",
address = "United States",
}