Exploring the Effect of Mass Customization on User Acceptance of Socially Assistive Robots (SARs)

Ela Liberman-Pincu, Tal Oron-Gilad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationHRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
Pages880-884
Number of pages5
ISBN (Electronic)9781538685549
DOIs
StatePublished - Mar 2022
Event17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022 - Sapporo, Japan
Duration: 7 Mar 202210 Mar 2022

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2022-March

Conference

Conference17th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2022
Country/TerritoryJapan
CitySapporo
Period7/03/2210/03/22

Keywords

  • Assistive robot
  • Human-robot interaction
  • Mass customization
  • Product design
  • Technology acceptance
  • User attachment
  • User enjoyment

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Human-Computer Interaction
  • Electrical and Electronic Engineering

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