Finding “H” in HRI: Examining Human Personality Traits, Robotic Anthropomorphism, and Robot Likeability in Human-Robot Interaction

Anshu Saxena Arora, Mayumi Fleming, Amit Arora, Vas Taras and Jiajun Xu
Additional contact information
Anshu Saxena Arora: University of the District of Columbia, USA
Mayumi Fleming: University of the District of Columbia, USA
Amit Arora: University of the District of Columbia, USA
Vas Taras: University of North Carolina at Greensboro, USA
Jiajun Xu: University of the District of Columbia, USA

International Journal of Intelligent Information Technologies (IJIIT), 2021, vol. 17, issue 1, 1-20

Abstract: The study examines the relationship between the big five personality traits (extroversion, agreeableness, conscientiousness, neuroticism, and openness) and robot likeability and successful HRI implementation in varying human-robot interaction (HRI) situations. Further, this research investigates the influence of human-like attributes in robots (a.k.a. robotic anthropomorphism) on the likeability of robots. The research found that robotic anthropomorphism positively influences the relationship between human personality variables (e.g., extraversion and agreeableness) and robot likeability in human interaction with social robots. Further, anthropomorphism positively influences extraversion and robot likeability during industrial robotic interactions with humans. Extraversion, agreeableness, and neuroticism were found to play a significant role. This research bridges the gap by providing an in-depth understanding of the big five human personality traits, robotic anthropomorphism, and robot likeability in social-collaborative robotics.

Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://services.igi-global.com/resolvedoi/resolve ... 018/IJIIT.2021010102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jiit00:v:17:y:2021:i:1:p:1-20

Access Statistics for this article

International Journal of Intelligent Information Technologies (IJIIT) is currently edited by Vijayan Sugumaran

More articles in International Journal of Intelligent Information Technologies (IJIIT) from IGI Global
Bibliographic data for series maintained by Journal Editor ().