scholarly journals The influence of subjects' personality traits on personal spatial zones in a human-robot interaction experiment

2005 ◽  
Author(s):  
M.L. Walters ◽  
K. Dautenhahn ◽  
R. te Boekhorst ◽  
Kheng Lee Koay ◽  
C. Kaouri ◽  
...  
Keyword(s):  
Personality Traits ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Interaction Experiment

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.

scholarly journals Cross-cultural study on human-robot greeting interaction: acceptance and discomfort by Egyptians and Japanese

2013 ◽  
Vol 4 (2) ◽  
Author(s):  
Gabriele Trovato ◽  
Massimiliano Zecca ◽  
Salvatore Sessa ◽  
Lorenzo Jamone ◽  
Jaap Ham ◽  
...  
Keyword(s):  
Human Subjects ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
General Acceptance ◽  
Original Language ◽  
Cross Cultural Study ◽  
The People ◽  
Interaction Experiment ◽  
Specific Culture ◽  
Different Cultures

AbstractAs witnessed in several behavioural studies, a complex relationship exists between people’s cultural background and their general acceptance towards robots. However, very few studies have investigated whether a robot’s original language and gesture based on certain culture have an impact on the people of the different cultures. The purpose of this work is to provide experimental evidence which supports the idea that humans may accept more easily a robot that can adapt to their specific culture. Indeed, improving acceptance and reducing discomfort is fundamental for future deployment of robots as assistive, health-care or companion devices into a society. We conducted a Human- Robot Interaction experiment both in Egypt and in Japan. Human subjects were engaged in a simulated video conference with robots that were greeting and speaking either in Arabic or in Japanese. The subjects completed a questionnaire assessing their preferences and their emotional state, while their spontaneous reactions were recorded in different ways. The results suggest that Egyptians prefer the Arabic robot, while they feel a sense of discomfort when interacting with the Japanese robot; the opposite is also true for the Japanese. These findings confirm the importance of the localisation of a robot in order to improve human acceptance during social human-robot interaction.

scholarly journals Identifying Differences in Social Responsiveness among Preschoolers Interacting with or Watching Social Robots

2018 ◽  
Author(s):  
Marie D. Manner
Keyword(s):  
Eye Tracking ◽  
Humanoid Robot ◽  
Children With Autism ◽  
Human Robot Interaction ◽  
Social Responsiveness ◽  
Robot Interaction ◽  
Interaction Task ◽  
Interaction Experiment ◽  
Play Interaction ◽  
Autism Phenotype

We describe experiments performed with a large number of preschool children (ages 1.5 to 4 years) in a two-task eye tracking experiment and a human-robot interaction experiment. The resulting data of mostly neuro-typical children forms a baseline with which to compare children with autism, allowing us to further characterize the autism phenotype. Eye tracking task results indicate a strong preference for a humanoid robot and a social being (a four year old girl) over other robot types. Results from the human-robot interaction task, a semi-structured play interaction between child and robot, showed we can cluster participants based on social distances and other social responsiveness metrics.

scholarly journals Human-robot interaction: How do personality traits affect attitudes towards robot?

2019 ◽  
Vol 16 (2) ◽  
pp. 499-504 ◽  
Author(s):  
Umit Morsunbul
Keyword(s):  
University Students ◽  
Personality Traits ◽  
Technological Development ◽  
Human Life ◽  
Negative Attitude ◽  
Human Robot Interaction ◽  
Big Five Personality ◽  
Robot Interaction ◽  
Great Progress ◽  
Male University Students

The robot technology seems to be an important part of daily life and has shown great progress in recent years. Robots are used in a lot of parts of life. Thus, we need to think and know how robots will affect human life and how human will react to robots. This study focused on human’s attitude toward robots. The first purpose of this study is to determine participants’ attitude towards robots and second is to investigate how personality traits predict their attitudes towards robots. Participants consisted of 219 (142 female and 77 male) university students. Of the participants were university students and their age was between 18-26 years old (mean age=20.54, SD=1.22). Negative Attitude towards Robot Scale and Quick Big Five Personality Test were used to collect data. Results indicated that gender, extraversion and openness to experience are important factors for participants’ attitude towards robots. Considering speed technological development we need more researches to evaluate correctly human-robot interactions. ÖzetRobot teknolojisi günlük yaşamın önemli bir parçası olarak görünmektedir ve son yıllarda büyük ilerleme göstermiştir. Robotlar yaşamın pek çok alanında kullanılmaktadır. Bundan dolayı robotların insan yaşamına nasıl etkide bulunduğunu ve insanların robotlara karşı nasıl teki verdiğini düşünmeye ve bilmeye ihtiyacımız vardır. Bu çalışma insanların robotlara karşı tutumları üzerine odaklanmıştır. Bu çalışmanın ilk amacı katılımcıların robotlara karşı tutumlarını belirlemek ve ikinci amacı da katılımcıların kişilik özelliklerinin robotlara karşı tutumlarını nasıl yordadığını incelemektir. Veriler 219 (142 kadın ve 77 erkek) üniversite öğrencisi katılımcıdan toplanmıştır. Katılımcıların yaş aralığı 18-26’dır (ort. yaş=20.54, SS=1.22). Robota karşı Olumsuz Tutum Ölçeği ve Hızlı Büyük Beşli Kişilik Testi kullanılmıştır. Sonuçlar katılımcıların robotlara karşı tutumunda cinsiyetin, dışadönüklüğün ve deneyimlere açıklığın önemli faktörler olduğunu göstermiştir. Hızlı teknolojik gelişmeler göz önünde bulundurulduğunda insan-robot etkileşimini doğru bir şekilde değerlendirmek için daha fazla araştırmaya ihtiyacımız vardır.

Mapping Hybrid Agencies Through Multiagent Systems

2009 ◽  
pp. 215-227
Author(s):  
Samuel G. Collins ◽  
Goran Trajkovski
Keyword(s):  
Multiagent Systems ◽  
Human Subjects ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Social Phenomena ◽  
Motor Abilities ◽  
Social Actions ◽  
Multi Agent ◽  
Interaction Experiment ◽  
The One

In this chapter, we give an overview of the results of a Human-Robot Interaction experiment, in a near zerocontext environment. We stimulate the formation of a network joining together human agents and non-human agents, in order to examine emergent conditions and social actions. Human subjects, in teams of three to four, are presented with a task–to coax a robot (by any means) from one side of a table to the other–not knowing with what sensory and motor abilities the robotic structure is equipped. On the one hand, the “goal” of the exercise is to “move” the robot through any linguistic or paralinguistic means. But, from the perspective of the investigators, the goal is both broader and more nebulous–to stimulate any emergent interactions whatsoever between agents, human or non-human. Here we discuss emergent social phenomena in this assemblage of human and machine, in particular, turn-taking and discourse, suggesting (counter-intuitively) that the “transparency” of non-human agents may not be the most effective way to generate multi-agent sociality.

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