Effects of using indirect language by a robot to change human attitudes

Alexander Lopez, Bryan Ccasane, Renato Paredes, Francisco Cuellar

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

18 Scopus citations

Abstract

The use of indirect language is considered useful for persuading people in human communication. The aim of this research is to determine whether this also occurs within human-robot interaction. Thus, it is hypothesized that indirect language will have greater influence in attitude changes towards a product in comparison to direct language. A seven-point semantic differential scale was employed to measure participants attitude changes towards a product advertised by a Nao Robot using either direct or indirect speech. Results showed no significant differences between the direct and indirect language experimental conditions. This may indicate that in human-robot interaction indirect language may not function similarly as it does in human communication. A larger sample size and improvements in stimuli are suggested for future works.

Original languageEnglish
Title of host publicationHRI 2017 - Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction
PublisherIEEE Computer Society
Pages193-194
Number of pages2
ISBN (Electronic)9781450348850
DOIs
StatePublished - 6 Mar 2017
Event12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017 - Vienna, Austria
Duration: 6 Mar 20179 Mar 2017

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
ISSN (Electronic)2167-2148

Conference

Conference12th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2017
Country/TerritoryAustria
CityVienna
Period6/03/179/03/17

Keywords

  • direct and indirect language
  • human robot interaction
  • persuading people

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