Influence of a humanoid robot in human decision-making when using direct & indirect requests

Alexander López, Christian Peñaloza, Francisco Cuéllar

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

2 Scopus citations

Abstract

The objective of this research is to investigate the personality factors that influence human decision-making in particular scenarios such as during the interaction with a robot or a human counterpart. We conducted the experiment in a public environment in which participants were approached by either a human or a robot agent. The agent asked a verbal request in a direct or indirect manner that participants could accept or decline. We used the Ten Item Personality Measure (TIPI) in order to measure the personality traits of the agent that had a strong influence in the acceptance decision of the participants. Our results suggest that within the context that our experiment took place, the humanoid robot was more effective at influencing human-decision making than the human agent, in particular when indirect request was used. The personality traits that made the robot to be more effective were: 'extrovert', 'enthusiastic' and 'sympathetic'.

Original languageEnglish
Title of host publicationHRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction
PublisherIEEE Computer Society
Pages473-474
Number of pages2
ISBN (Electronic)9781467383707
DOIs
StatePublished - 12 Apr 2016
Event11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand
Duration: 7 Mar 201610 Mar 2016

Publication series

NameACM/IEEE International Conference on Human-Robot Interaction
Volume2016-April
ISSN (Electronic)2167-2148

Conference

Conference11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Country/TerritoryNew Zealand
CityChristchurch
Period7/03/1610/03/16

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