Robots Educate in Style: The Effect of Context and Non-verbal Behaviour on Children's Perceptions of Warmth and Competence

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

7 Citations (Scopus)

Abstract

Social robots are entering the private and public domain where they engage in social interactions with nontechnical users. This requires robots to be socially interactive and intelligent, including the ability to display appropriate social behaviour. Progress has been made in emotion modelling. However, research into behaviour style is less thorough; no comprehensive, validated model exists of non-verbal behaviours to express style in human-robot interactions. Based on a literature survey, we created a model of non-verbal behaviour to express high/low warmth and competence—two dimensions that contribute to teaching style. In a perception study, we evaluated this model applied to a NAO robot giving a lecture at primary schools and a diabetes camp in the Netherlands.
For this, we developed, based on expert ratings, an instrument measuring perceived warmth, competence, dominance and affiliation. We show that even subtle manipulations of robot behaviour influence children’s perceptions of the robot’s level of warmth and competence.
Original languageEnglish
Title of host publication26th IEEE International Symposium on Robot and Human Interactive Communication, IEEE RO-MAN 2017
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages449-455
Number of pages7
ISBN (Electronic)978-1-5386-3518-6
ISBN (Print)978-1-5386-3519-3
DOIs
Publication statusPublished - 2017
EventIEEE RO-MAN 2017: 26th IEEE International Symposium on Robot and Human Interactive Communication - Human-Robot Collaboration and Human Assistance for an Improved Quality of Life - Lisbon, Portugal
Duration: 28 Aug 20171 Sep 2017
Conference number: 26

Conference

ConferenceIEEE RO-MAN 2017
CountryPortugal
CityLisbon
Period28/08/171/09/17

Keywords

  • Education
  • Loading
  • Semantics
  • Collaboration
  • Educational robots
  • Instruments

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