Social Influence in HRI with Application to Social Robots for Rehabilitation

Katie Winkle*

*Corresponding author for this work

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

1 Citation (Scopus)
184 Downloads (Pure)

Abstract

Social influence refers to an individual's attitudes and/or behaviours being influenced by others, whether implicit or explicit, such that persuasion and compliance gaining are instances of social influence [1] [2]. In human-human interaction (HHI), the desire to understand compliance and maximise social influence for persuasion has led to the development of theory and resulting strategies one can use in an attempt to leverage social influence, e.g. Cialdini's 'Weapons of Influence' [3]. Whilst a number of social human-robot interaction (HRI) studies have investigated the impact of different robot behaviours in compliance gaining/persuasion (e.g. [4]-[7]); established strategies for maximising this are yet to emerge, and it is unclear to what extent theories and strategies from HHI might apply.

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
Pages754-756
Number of pages3
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
CountryKorea, Republic of
CityDaegu
Period11/03/1914/03/19

Keywords

  • acceptability
  • autonomy
  • machine learning
  • persuasion
  • social influence
  • socially assistive robots
  • user studies

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