scholarly journals Human–robot interaction through the lens of social psychological theories of intergroup behavior.

2021 ◽  
Vol 1 (2) ◽  
Author(s):  
Eliot R. Smith ◽  
Selma Šabanović ◽  
Marlena R. Fraune
2019 ◽  
Vol 374 (1771) ◽  
pp. 20180038 ◽  
Author(s):  
Ricarda Wullenkord ◽  
Friederike Eyssel

Imagined contact (IC), that is, mentally simulating an interaction with an outgroup member, reduces negative attitudes towards outgroup members, increases contact intentions, and reduces intergroup anxiety in human–human intergroup context. Our experiment tested the effectiveness of IC with a robot to improve human–robot interaction (HRI). Social psychological literature suggested that IC provides a behavioural script for an interaction. Hence, an imagined scenario similar to a real contact scenario should be more effective in eliciting the aforementioned positive effects. We therefore examined the effect of similarity between IC with a robot and the following actual HRI on interaction perception, and behaviours towards the robot. High similarity was expected to lead to a more positive perception of HRI and more positive interaction behaviour towards the robot (e.g. more social behaviour). Results showed that perceived HRI quality was evaluated more positively and participants displayed more social behaviour towards the robot when the imagined task resembled the HRI that followed, compared to when it did not resemble the subsequent HRI. When controlling for covariates, the effects on number of social behaviours and perceived interaction quality remained significant, however, there was no effect on the total amount of time spent producing social behaviours. This article is part of the theme issue ‘From social brains to social robots: applying neurocognitive insights to human–robot interaction’.


2008 ◽  
Vol 9 (2) ◽  
pp. 277-300 ◽  
Author(s):  
Alan R. Wagner ◽  
Ronald C. Arkin

This paper presents an algorithm for analyzing social situations within a robot. We contribute a method that allows the robot to use information about the situation to select interactive behaviors. This work is based on interdependence theory, a social psychological theory of interaction and interpersonal situation analysis. Experiments demonstrate the utility of the information provided by the situation analysis algorithm and of the value of this method for guiding robot interaction. We conclude that the situation analysis algorithm offers a viable, principled, and general approach to explore interactive robotics problems.


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.


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