Humanoid robots are increasingly being integrated into learning contexts to assist teaching and learning. However, challenges remain how to design and incorporate such robots in an educational context. As an important part of teaching includes monitoring the motivational and emotional state of the learner and adapting the interaction style and learning content accordingly, in this paper, we discuss the role of gestures displayed by a humanoid robot (i.e., Pepper robot) in a learning and teaching context and present our ongoing research on designing and developing a teacher robot.
@article{arxiv.2302.03942,
title = {Challenges in Designing Teacher Robots with Motivation Based Gestures},
author = {Hae Seon Yun and Volha Taliaronak and Murat Kirtay and Johann Chevelère and Heiko Hübert and Verena V. Hafner and Niels Pinkwart and Rebecca Lazarides},
journal= {arXiv preprint arXiv:2302.03942},
year = {2023}
}
Comments
The manuscript was submitted, accepted and also presented at the RCHI workshop at the 17th Annual ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022). https://sites.google.com/view/rchri/home/proceedings?pli=1 However, it was not published in the proceedings or journal and current google site does not work to view our contribution