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.

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 Intentional and Phenomenal attributions in the light of the influence of personality traits, and Attitudes towards robots on pro-social behaviour in human-robot interaction

2021 ◽  
Author(s):  
Nicolas Spatola ◽  
Serena Marchesi ◽  
Agnieszka Wykowska
Keyword(s):  
Personality Traits ◽  
Human Mind ◽  
Human Robot Interaction ◽  
Integrative Model ◽  
Big Five Personality ◽  
Intentional Stance ◽  
Human Environment ◽  
Social Actors ◽  
Human Likeness ◽  
To Come

In the decades to come, robots could become more present in the human environment increasing the likelihood to interact with them. When reasoning about them, individuals tend to endow robots with human-like characteristics such as intentions or emotions, they develop attitudes toward them and differ in their likelihood to cooperate with them . However, how these different variables emerge, interact in the human mind and effect actual behaviour in HRI is still poorly understood. In three studies, using the intentional and phenomenal stance theoretical framework, the attitudes toward robots evaluation and the Big-Five personality traits framework we investigated the attribution of intentional and phenomenal experience to robots and the influence of imaginative representation robots on the interpretative attributions (Experiment 1). We also evaluated how the context of evaluation presenting robots with different level of human-likeness as potential social actors compared to mere technological prototypes and the prior attitudes toward them could bias intentional/phenomenal attributions (Experiment 2). Finally, we used a human-robot a prisoner’s dilemma game and developed a structural integrative model using attributions, attitudes and personality traits to evaluate the likelihood of participants to make a prosocial decision in HRI (Experiment 3).Experiment 1, 2 and 3 results showed that intentional stance is more readily adopted than phenomenal stance and that the imaginative type of the stances predicts the interpretative type. In experiment 2 level of attributions were predicted by attitudes toward robots. Also, attributions were influenced by robot human-likeness and the presentation of robots as social, compared to non-social, agents. Finally, experiment 3 structural integrative model showed a predominance of personality traits and attitudes to predict the likelihood to cooperate in an actual HRI.

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 Jealousy 4.0? An empirical study on jealousy-related discomfort of women evoked by other women and gynoid robots

2018 ◽  
Vol 9 (1) ◽  
pp. 323-336 ◽  
Author(s):  
Jessica M. Szczuka ◽  
Nicole C. Krämer
Keyword(s):  
Empirical Study ◽  
Sexual Intercourse ◽  
Physical Attractiveness ◽  
Empirical Studies ◽  
Negative Attitude ◽  
Personal Characteristics ◽  
Self Esteem ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Online Study

Abstract While first empirical studies on sexual aspects of human-robot interaction mostly focus on male users’ acceptance, there is no empirical research on how females react to robotic replications of women. To empirically investigate whether robots can evoke the same kind of jealousy-related discomfort as do other women, we conducted an online study in which 848 heterosexual female participants from Germany reacted to the idea that their partner had sexual intercourse with either another woman, a human-like female-looking robot, or a machinelike female-looking robot. The results revealed dimensions in which the jealousy-related discomfort was higher for female competitors compared to the robotic ones (e.g., discomfort caused by the idea of sexual intercourse),whereas in others the robots evoked the same or higher levels of jealousy-related discomfort (e.g., discomfort caused by feelings of inadequacy, discomfort caused by shared emotional and time resources). The variance in the discomfort regarding sexual interactions between one’s partner and robotic competitors could not be explained by personal characteristics (such as self-esteem, subjective physical attractiveness) but rather by technology-related variables (e.g., negative attitude towards robots, a tendency towards anthropomorphism) and the attitude towards sexual nonexclusivity in relationships. The study provides first empirical insights into a question which is of relevance for a responsible handling of sexualized technologies.

Relationship of Personality Factors to Conceived Values in Male University Students

1965 ◽  
Vol 16 (2) ◽  
pp. 609-617 ◽  
Author(s):  
Susan Dorcas Butt ◽  
Edro I. Signori
Keyword(s):  
University Students ◽  
Personality Traits ◽  
Random Sample ◽  
Male Students ◽  
Personality Factors ◽  
Questionnaire Form ◽  
Relationship Of ◽  
Male University Students ◽  
Statistical Results

This study is an extension of a project published by Mortis (1956). The “Ways to Live Questionnaire” and the “Sixteen Personality Factors Questionnaire, Form A” were administered to a random sample of 201 undergraduate university male students. The hypothesis, that students who like a certain philosophy towards life will have personality traits different from those of students who do not like it, was supported. However, the statistical results as well as the interpretation of the relationships in this study differ from those reported by Morris.

Sign in / Sign up

Export Citation Format

Share Document