Perceptions of Social Robots as Motivating Learning Companions for Online Learning

Dafna Sinai, Rinat B. Rosenberg-Kima

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

Abstract

The shift for online learning, accelerated during the COVID-19 pandemic, has highlighted the importance of self-regulated learning skills and the challenges many students face while practicing online learning. Could social robots help by serving as motivating learning companions in online learning settings? In this study, we explore the perceived potential of motivating learning companion robots designed based on Self-Determination Theory. One hundred and eighty-five participants watched one of five videos displaying a simulated student-robot interaction and rated their perceptions of the intrinsic motivation of the student in the videos and the type of support provided by the social robot. Overall, the motivating learning companion affected the perceived sense of relatedness and perceived level of anxiety of the student in the video, as well as the social robot's perceived support. Differences between the conditions are discussed.

Original languageEnglish
Title of host publicationHRI 2022 - Proceedings of the 2022 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages1045-1048
Number of pages4
ISBN (Electronic)9781538685549
DOIs
StatePublished - 2022
Externally publishedYes
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
ISSN (Electronic)2167-2148

Conference

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

Keywords

  • Human-Robot Interaction
  • Motivating Learning Companion
  • Online Learning
  • Self-Determination Theory
  • Social Robots

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