Challenges in Designing Teacher Robots with Motivation Based Gestures

TL;DR

This paper explores the challenges of designing humanoid teacher robots that use motivational gestures to adapt to learners' emotional states, aiming to improve educational interactions.

Contribution

It presents ongoing research on integrating motivational gestures into humanoid robots to enhance teaching effectiveness in educational settings.

Findings

Identifies key challenges in gesture design for educational robots

Highlights the importance of emotional and motivational monitoring

Proposes a framework for gesture-based interaction adaptation

Abstract

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.