Investigating the Effect of a Robotic Tutor on Learner Perception of Skill Based Feedback

Aidan Jones, Ginevra Castellano, Susan Bull

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

7 Citations (Scopus)
261 Downloads (Pure)

Abstract

In this paper we investigate the effect of different embodiments on perception of a skill based feedback (a basic open learner model) with a robotic tutor. We describe a study with fifty-one 11-13 year old learners. Each learner carries out a geography based activity on a touch table. A real time model of the learner’s skill levels is built based on the learner’s interaction with the activity. We explore three conditions where the contents of this learner model is fed back to the learner with different levels of embodiment: (1) Full embodiment, where skill levels are presented and explained solely by a robot; (2) Mixed embodiment, where skill levels are presented on a screen with explanation by a robot; and (3) No embodiment, where skill levels and explanation are presented on a screen with no robot. The findings suggest that embodiment can increase enjoyment, understanding, and trust in explanations of an open learner model.
Original languageEnglish
Title of host publicationSocial Robotics
Subtitle of host publication6th International Conference, ICSR 2014, Sydney, NSW, Australia, October 27-29, 2014. Proceedings
EditorsMichael Beetz, Benjamin Johnston, Mary-Anne Williams
PublisherSpringer
Pages186-195
Number of pages10
Volume8755
ISBN (Print)978-3-319-11972-4
DOIs
Publication statusPublished - 2014
EventSixth International Conference on Social Robotics (ICSR 2014) - Sydney, Australia
Duration: 27 Oct 201429 Oct 2014

Publication series

NameLecture Notes in Computer Science
PublisherSpringer International Publishing
Volume8755
ISSN (Print)0302-9743

Conference

ConferenceSixth International Conference on Social Robotics (ICSR 2014)
Country/TerritoryAustralia
CitySydney
Period27/10/1429/10/14

Keywords

  • Open LearnerModelling
  • LearnerModelling
  • Social Robots

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