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 language||American English|
|Title of host publication||HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction|
|Publisher||IEEE Computer Society|
|Number of pages||2|
|State||Indexed - 12 Apr 2016|
|Event||11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand|
Duration: 7 Mar 2016 → 10 Mar 2016
|Name||ACM/IEEE International Conference on Human-Robot Interaction|
|Conference||11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016|
|Period||7/03/16 → 10/03/16|
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© 2016 IEEE.