Gender Effects on Lexical Alignment in Human-Robot Interaction

2017 ◽  
Vol 137 (12) ◽  
pp. 1625-1632
Author(s):  
Mitsuhiko Kimoto ◽  
Takamasa Iio ◽  
Masahiro Shiomi ◽  
Ivan Tanev ◽  
Katsunori Shimohara ◽  
...  
2018 ◽  
Vol 1 (1) ◽  
pp. 26-33
Author(s):  
Ghaith Mqawass

An important recent trend in education has been the integration of different technologies such as digital games, online courses, and educational robots. The development of educational robots such as lego Mindstorms nxt allows students to learn to build their own robots. This paper describes the human-robot interaction (hri) focusing especially on the model lego Mindstorms nxt. A questionnaire among 250 Syrian school and university students was conducted to investigate the different perceptions about lego robots in 2016. The informants were grouped based on their age; participants in the first group were aged between 11 and 18 years while participants in the second between 19 and 24. The current study also focuses on the factors leading to the acceptance of lego robots. Another questionnaire was conducted to highlight what factors determine the degree of acceptance of lego robots by the studied groups. Significant age and gender effects were found. The results show a noticeable difference between the two age groups, with the younger group tending to accept lego robots more. Furthermore, it was found that male respondents show more positive reactions towards lego robots than females.


2009 ◽  
Author(s):  
Matthew S. Prewett ◽  
Kristin N. Saboe ◽  
Ryan C. Johnson ◽  
Michael D. Coovert ◽  
Linda R. Elliott

2010 ◽  
Author(s):  
Eleanore Edson ◽  
Judith Lytle ◽  
Thomas McKenna

2020 ◽  
Author(s):  
Agnieszka Wykowska ◽  
Jairo Pérez-Osorio ◽  
Stefan Kopp

This booklet is a collection of the position statements accepted for the HRI’20 conference workshop “Social Cognition for HRI: Exploring the relationship between mindreading and social attunement in human-robot interaction” (Wykowska, Perez-Osorio & Kopp, 2020). Unfortunately, due to the rapid unfolding of the novel coronavirus at the beginning of the present year, the conference and consequently our workshop, were canceled. On the light of these events, we decided to put together the positions statements accepted for the workshop. The contributions collected in these pages highlight the role of attribution of mental states to artificial agents in human-robot interaction, and precisely the quality and presence of social attunement mechanisms that are known to make human interaction smooth, efficient, and robust. These papers also accentuate the importance of the multidisciplinary approach to advance the understanding of the factors and the consequences of social interactions with artificial agents.


2019 ◽  
Author(s):  
Cinzia Di Dio ◽  
Federico Manzi ◽  
Giulia Peretti ◽  
Angelo Cangelosi ◽  
Paul L. Harris ◽  
...  

Studying trust within human-robot interaction is of great importance given the social relevance of robotic agents in a variety of contexts. We investigated the acquisition, loss and restoration of trust when preschool and school-age children played with either a human or a humanoid robot in-vivo. The relationship between trust and the quality of attachment relationships, Theory of Mind, and executive function skills was also investigated. No differences were found in children’s trust in the play-partner as a function of agency (human or robot). Nevertheless, 3-years-olds showed a trend toward trusting the human more than the robot, while 7-years-olds displayed the reverse behavioral pattern, thus highlighting the developing interplay between affective and cognitive correlates of trust.


Author(s):  
José Novoa ◽  
Jorge Wuth ◽  
Juan Pablo Escudero ◽  
Josué Fredes ◽  
Rodrigo Mahu ◽  
...  

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