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Effective Persuasion Strategies for Socially Assistive Robots

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Publisher or commissioning bodyIEEE Computer Society
Number of pages9
ISBN (Electronic)9781538685556
ISBN (Print)9781538685563
DateAccepted/In press - 7 Jan 2019
DatePublished (current) - 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)
ISSN (Print)2167-2121


Conference14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019
CountryKorea, Republic of


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.

    Structured keywords

  • Brain and Behaviour
  • Cognitive Science
  • Visual Perception

    Research areas

  • Persuasion, Socially Assistive Robots, User-Study


14th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2019

Duration11 Mar 201914 Mar 2019
CountryKorea, Republic of
SponsorsACM (External organisation), ACM SIGAI (External organisation), ACM SIGCHI (External organisation), IEEE (External organisation), IEEE Robotics and Automation Society (External organisation)

Event: Conference

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    Rights statement: This is the accepted author manuscript (AAM). The final published version (version of record) is available online via IEEE at . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 1.61 MB, PDF document

    Licence: Other


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