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

Alexander López; Christian Peñaloza; Francisco Cuéllar

doi:10.1109/HRI.2016.7451812

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 contribution › peer-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 language	American English
Title of host publication	HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction
Publisher	IEEE Computer Society
Pages	473-474
Number of pages	2
ISBN (Electronic)	9781467383707
DOIs	https://doi.org/10.1109/HRI.2016.7451812
State	Indexed - 12 Apr 2016
Externally published	Yes
Event	11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016 - Christchurch, New Zealand Duration: 7 Mar 2016 → 10 Mar 2016

Publication series

Name	ACM/IEEE International Conference on Human-Robot Interaction
Volume	2016-April
ISSN (Electronic)	2167-2148

Conference

Conference	11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016
Country/Territory	New Zealand
City	Christchurch
Period	7/03/16 → 10/03/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Access to Document

10.1109/HRI.2016.7451812

Cite this

López, A., Peñaloza, C., & Cuéllar, F. (2016). Influence of a humanoid robot in human decision-making when using direct & indirect requests. In HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction (pp. 473-474). Article 7451812 (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2016-April). IEEE Computer Society. https://doi.org/10.1109/HRI.2016.7451812

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title = "Influence of a humanoid robot in human decision-making when using direct \& indirect requests",

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'.",

author = "Alexander L{\'o}pez and Christian Pe{\~n}aloza and Francisco Cu{\'e}llar",

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year = "2016",

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López, A, Peñaloza, C & Cuéllar, F 2016, Influence of a humanoid robot in human decision-making when using direct & indirect requests. in HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction., 7451812, ACM/IEEE International Conference on Human-Robot Interaction, vol. 2016-April, IEEE Computer Society, pp. 473-474, 11th Annual ACM/IEEE International Conference on Human-Robot Interaction, HRI 2016, Christchurch, New Zealand, 7/03/16. https://doi.org/10.1109/HRI.2016.7451812

Influence of a humanoid robot in human decision-making when using direct & indirect requests. / López, Alexander; Peñaloza, Christian; Cuéllar, Francisco.
HRI 2016 - 11th ACM/IEEE International Conference on Human Robot Interaction. IEEE Computer Society, 2016. p. 473-474 7451812 (ACM/IEEE International Conference on Human-Robot Interaction; Vol. 2016-April).

Research output: Chapter in Book/Report › Conference contribution › peer-review

TY - GEN

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AU - Cuéllar, Francisco

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AB - 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'.

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

Abstract

Publication series

Conference

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