Endowing a Robotic Tutor with Empathic Qualities: Design and Pilot Evaluation
Journal article, 2018

As increasingly more research efforts are geared towards creating robots that can teach and interact with children in educational contexts, it has been speculated that endowing robots with artificial empathy may facilitate learning. In this paper, we provide a background to the concept of empathy, and how it factors into learning. We then present our approach to equipping a robotic tutor with several empathic qualities, describing the technical architecture and its components, a map-reading learning scenario developed for an interactive multitouch table, as well as the pedagogical and empathic strategies devised for the robot. We also describe the results of a pilot study comparing the robotic tutor with these empathic qualities against a version of the tutor without them. The pilot study was performed with 26 school children aged 10-11 at their school. Results revealed that children in the test condition indeed rated the robot as more empathic than children in the control condition. Moreover, we explored several related measures, such as relational status and learning effect, yet no other significant differences were found. We further discuss these results and provide insights into future directions.

empathic

education

empathy

children

robot

tutor

Author

Mohammad Obaid

Uppsala University

Ruth Aylett

Heriot-Watt University

Wolmet Barendregt

University of Gothenburg

Christina Basedow

Vancouver Island University

Lee Corrigan

University of Birmingham

Lynne Hall

University of Sunderland

Aidan Jones

University of Birmingham

Arvid Kappas

Jacobs University Bremen

Dennis Küster

Universität Bremen

Ana Paiva

University of Lisbon

Fotis Papadopoulos

University of Plymouth

Sofia Serholt

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design (Chalmers)

Ginevra Castellano

Uppsala University

International Journal of Humanoid Robotics

0219-8436 (ISSN)

Vol. 15 6 1850025

Subject Categories

Learning

Pedagogy

Human Computer Interaction

Robotics

Computer Vision and Robotics (Autonomous Systems)

DOI

10.1142/S0219843618500251

More information

Latest update

1/23/2019