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Empathic Robotic Tutors for Personalised Learning: A Multidisciplinary Approach

Conference paper
Authors Aidan Jones
Dennis Kuster
Christina Anne Basedow
Patrícia Alves-Oliveira
Sofia Serholt
Helen Hastie
Lee J. Corrigan
Wolmet Barendregt
Arvid Kappas
Ana Paiva
Ginevra Castellano
Published in Lecture Notes in Computer Science - Social Robotics
ISBN 978-3-319-25554-5
Publisher Springer
Publication year 2015
Published at The Linnaeus Centre for Research on Learning, Interaction, and Mediated Communication in Contemporary Society (LinCS)
Department of Applied Information Technology (GU)
Language en
Links dx.doi.org/10.1007/978-3-319-25554-...
Keywords Personalisation, Robotic tutor, Human-robot interaction
Subject categories Computer Vision and Robotics (Autonomous Systems), Human Computer Interaction

Abstract

Within any learning process, the formation of a socioemotional relationship between learner and teacher is paramount to facilitating a good learning experience. The ability to form this relationship may come naturally to an attentive teacher; but how do we endow an unemotional robot with this ability? In this paper, we extend upon insights from the literature to include tools from user-centered design (UCD) and analyses of human-human interaction (HHI) as the basis of a multidisciplinary approach in the development of an empathic robotic tutor. We discuss the lessons learned in respect to design principles with the aim of personalised learning with empathic robotic tutors.

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