Title
Influence of a humanoid robot in human decision-making when using direct & indirect requests
Date Issued
12 April 2016
Access level
metadata only access
Resource Type
conference paper
Publisher(s)
IEEE Computer Society
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'.
Start page
473
End page
474
Volume
2016-April
Language
English
OCDE Knowledge area
Robótica, Control automático
Publication version
Version of Record
Scopus EID
2-s2.0-84964836700
Source
ACM/IEEE International Conference on Human-Robot Interaction
Resource of which it is part
ACM/IEEE International Conference on Human-Robot Interaction
ISSN of the container
21672148
ISBN of the container
978-146738370-7
Conference
11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Sources of information:
Directorio de Producción Científica
Scopus