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 User-centred design of humanoid robots’ communication

2020 ◽  
Vol 12 (1) ◽  
pp. 58-73
Author(s):  
Sofia Thunberg ◽  
Tom Ziemke
Keyword(s):  
Mental Models ◽  
Participatory Design ◽  
Humanoid Robot ◽  
State Of The Art ◽  
Design Method ◽  
Humanoid Robots ◽  
Human Robot Interaction ◽  
Robot Interaction ◽  
Design Concepts ◽  
Design Ideas

AbstractInteraction between humans and robots will benefit if people have at least a rough mental model of what a robot knows about the world and what it plans to do. But how do we design human-robot interactions to facilitate this? Previous research has shown that one can change people’s mental models of robots by manipulating the robots’ physical appearance. However, this has mostly not been done in a user-centred way, i.e. without a focus on what users need and want. Starting from theories of how humans form and adapt mental models of others, we investigated how the participatory design method, PICTIVE, can be used to generate design ideas about how a humanoid robot could communicate. Five participants went through three phases based on eight scenarios from the state-of-the-art tasks in the RoboCup@Home social robotics competition. The results indicate that participatory design can be a suitable method to generate design concepts for robots’ communication in human-robot interaction.

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.

Are robots like people?

2007 ◽  
Vol 8 (2) ◽  
pp. 281-305 ◽  
Author(s):  
Sarah Woods ◽  
Kerstin Dautenhahn ◽  
Christina Kaouri ◽  
René te Boekhorst ◽  
Kheng Lee Koay ◽  
...  
Keyword(s):  
Personality Traits ◽  
Human Robot Interaction ◽  
Personality Characteristics ◽  
Group Differences ◽  
Living Room ◽  
Robot Interaction ◽  
Significant Group ◽  
Individual Personality ◽  
Home Context ◽  
Robot Companions

Identifying links between human personality and attributed robot personality is a relatively new area of human–robot interaction. In this paper we report on an exploratory study that investigates human and robot personality traits as part of a human–robot interaction trial. The trials took place in a simulated living-room scenario involving 28 participants and a human-sized robot of mechanical appearance. Participants interacted with the robot in two task scenarios relevant to a ‘robot in the home’ context. It was found that participants’ evaluations of their own personality traits are related to their evaluations of the robot’s personality traits. The statistical analysis of questionnaire data yields several statistically significant results: (a) Participants do not tend to assign their personality traits to match the robots’, (b) For individual personality traits, participants rated themselves as having stronger personality characteristics compared to the robot, (c) Specific significant correlations were found between participants’ and robot personality traits, and (d) Significant group differences for participant gender, age and technological background are highlighted. The results are discussed in light of developing personalized robot companions.

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