A Pet-Like Model for Educational Robots: Using Interdependence Theory to Enhance Learning and Sustain Long-Term Relationships

Vando Gusti Al Hakim, Su Hang Yang, Jen Hang Wang, Yu Chen Chang, Hung Hsuan Lin, Gwo Dong Chen

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

1 Scopus citations

Abstract

Educational robotics research endeavors to develop companion robots that can engage students in learning activities. However, existing educational robots are not always well-suited for use outside of the classroom and may struggle to sustain compelling interactions. To address this, this study proposes a new model for educational robots that leverages interdependence theory, which explains how mutual dependence can lead to lasting relationships. The pet-owner dynamic, in which the pet relies on the care and attention of the owner and provides emotional support in return, served as inspiration for this model. The proposed model features a digital pet-like robot that students must train and empower to perform a drama presenting their final learning results in front of the class. In an experiment with 60 students in a Japanese Hospitality course in Taiwan, the study found that long-term relationships between students and pet-like robots emerged, and these relationships significantly improved learning performance compared to ordinary robots. This study highlights the potential of integrating interdependence theory with advanced technologies such as robots, mobile devices, and virtual reality to enhance student learning and foster long-term relationships between students and robots.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023
EditorsMaiga Chang, Nian-Shing Chen, Rita Kuo, George Rudolph, Demetrios G Sampson, Ahmed Tlili
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages100-104
Number of pages5
ISBN (Electronic)9798350300543
DOIs
StatePublished - 2023
Event23rd IEEE International Conference on Advanced Learning Technologies, ICALT 2023 - Hybrid, Orem, United States
Duration: 10 Jul 202313 Jul 2023

Publication series

NameProceedings - 2023 IEEE International Conference on Advanced Learning Technologies, ICALT 2023

Conference

Conference23rd IEEE International Conference on Advanced Learning Technologies, ICALT 2023
Country/TerritoryUnited States
CityHybrid, Orem
Period10/07/2313/07/23

Keywords

  • educational robot
  • human-robot interaction
  • interdependence theory
  • long-term relationship
  • pet
  • robotic pet

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