Understanding nonverbal communication cues of human personality traits in human-robot interaction

2020 ◽  
Vol 7 (6) ◽  
pp. 1465-1477
Author(s):  
Zhihao Shen ◽  
Armagan Elibol ◽  
Nak Young Chong
Keyword(s):  
Personality Traits ◽  
Nonverbal Communication ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Human Personality

Finding “H” in HRI

2021 ◽  
Vol 17 (1) ◽  
pp. 19-38
Author(s):  
Anshu Saxena Arora ◽  
Mayumi Fleming ◽  
Amit Arora ◽  
Vas Taras ◽  
Jiajun Xu
Keyword(s):  
Personality Traits ◽  
Big Five ◽  
Human Robot Interaction ◽  
Human Interaction ◽  
Big Five Personality ◽  
Robot Interaction ◽  
Collaborative Robotics ◽  
Personality Variables ◽  
Human Personality ◽  
The Relationship

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.

scholarly journals Design of Hesitation Gestures for Nonverbal Human-Robot Negotiation of Conflicts

2021 ◽  
Vol 10 (3) ◽  
pp. 1-25
Author(s):  
Ajung Moon ◽  
Maneezhay Hashmi ◽  
H. F. Machiel Van Der Loos ◽  
Elizabeth A. Croft ◽  
Aude Billard
Keyword(s):  
Nonverbal Communication ◽  
Human Subjects ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Resource Conflicts ◽  
Conflict Situations ◽  
Interaction Experiment ◽  
Characteristic Features ◽  
Trajectory Generator ◽  
Positive Results

When the question of who should get access to a communal resource first is uncertain, people often negotiate via nonverbal communication to resolve the conflict. What should a robot be programmed to do when such conflicts arise in Human-Robot Interaction? The answer to this question varies depending on the context of the situation. Learning from how humans use hesitation gestures to negotiate a solution in such conflict situations, we present a human-inspired design of nonverbal hesitation gestures that can be used for Human-Robot Negotiation. We extracted characteristic features of such negotiative hesitations humans use, and subsequently designed a trajectory generator (Negotiative Hesitation Generator) that can re-create the features in robot responses to conflicts. Our human-subjects experiment demonstrates the efficacy of the designed robot behaviour against non-negotiative stopping behaviour of a robot. With positive results from our human-robot interaction experiment, we provide a validated trajectory generator with which one can explore the dynamics of human-robot nonverbal negotiation of resource conflicts.

Applying the Theory of Make-Believe to Human-Robot Interaction

2020 ◽  
Author(s):  
Matthew Rueben ◽  
Eitan Rothberg ◽  
Maja J. Matarić
Keyword(s):  
Personality Traits ◽  
Mental Models ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Apparent Paradox ◽  
As If

People often make ascriptions that they believe to be literally false. A robot, for example, may be treated as if it were a dog, or as if it had certain intentions, emotions, or personality traits. How can one do this while also believing that robots cannot really have such traits? In this paper we explore how Kendall Walton’s theory of make-believe might account for this apparent paradox. We propose several extensions to Walton’s theory, some implications for how we make attributions and use mental models, and an informal account of human-robot interaction from the human’s perspective.

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