Effective Persuasion Strategies for Socially Assistive Robots

Katie Winkle, Séverin Lemaignan, Praminda Caleb-Solly, Ute Leonards, Ailie Turton, Paul Bremner

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

44 Citations (Scopus)
356 Downloads (Pure)

Abstract

In this paper we present the results of an experimental study investigating the application of human persuasive strategies to a social robot. We demonstrate that robot displays of goodwill and similarity to the participant significantly increased robot persuasiveness, as measured objectively by participant behaviour. However, such strategies had no impact on subjective measures concerning perception of the robot, and perception of the robot did not correlate with participant behaviour. We hypothesise that this is due to difficulty in accurately measuring perception of a robot using subjective measures. We suggest our results are particularly relevant for the design and development of socially assistive robots.

Original languageEnglish
Title of host publication2019 14th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2019)
Subtitle of host publicationProceedings of a meeting held 11-14 March 2019, Daegu, South Korea.
PublisherIEEE Computer Society
Pages277-285
Number of pages9
Volume2019-March
ISBN (Electronic)9781538685556
ISBN (Print)9781538685563
DOIs
Publication statusPublished - 22 Mar 2019
Event14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019 - Daegu, Korea, Republic of
Duration: 11 Mar 201914 Mar 2019

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction (HRI)
PublisherIEEE
ISSN (Print)2167-2121

Conference

Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
Country/TerritoryKorea, Republic of
CityDaegu
Period11/03/1914/03/19

Structured keywords

  • Brain and Behaviour
  • Cognitive Science
  • Visual Perception

Keywords

  • Persuasion
  • Socially Assistive Robots
  • User-Study

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