scholarly journals Trust, Acceptance and Social Cues in Human–Robot Interaction (SCRITA)

Author(s):  
Alessandra Rossi ◽  
Patrick Holthaus ◽  
Giulia Perugia ◽  
Sílvia Moros ◽  
Marcus Scheunemann
2013 ◽  
Vol 4 ◽  
Author(s):  
Stephen M. Fiore ◽  
Travis J. Wiltshire ◽  
Emilio J. C. Lobato ◽  
Florian G. Jentsch ◽  
Wesley H. Huang ◽  
...  

Author(s):  
Samantha F. Warta ◽  
Olivia B. Newton ◽  
Jihye Song ◽  
Andrew Best ◽  
Stephen M. Fiore

This study investigated how humans interact socially with robots. Participants engaged in a hallway navigation task with a robot. Throughout twelve trials, the display on the robot and its proxemics behavior was varied while participants were tasked with first, reacting to the robot’s actions and second, interpreting its behavior. Results indicated that proxemic behavior and robotic display characteristics influence the degree to which individuals perceive the robot as socially present, with more human-like displays and assertive robotic behaviors resulting in greater assessments of social presence. When examined in isolation, repeated interactions over time do not appear to affect the perception of a socially present robot under these particular circumstances. Results are discussed in the context of how social signals theory inform research in human-robot interaction.


2002 ◽  
Vol 21 (10-11) ◽  
pp. 883-902 ◽  
Author(s):  
Cynthia Breazeal

Newly emerging robotics applications for domestic or entertainment purposes are slowly introducing autonomous robots into society at large. A critical capability of such robots is their ability to interact with humans, and in particular, untrained users. In this paper we explore the hypothesis that people will intuitively interact with robots in a natural social manner provided the robot can perceive, interpret, and appropriately respond with familiar human social cues. Two experiments are presented where naive human subjects interact with an anthropomorphic robot. We present evidence for mutual regulation and entrainment of the interaction, and we discuss how this benefits the interaction as a whole.


Author(s):  
Stephane Lallee ◽  
Vasiliki Vouloutsi ◽  
Maria Blancas Munoz ◽  
Klaudia Grechuta ◽  
Jordi-Ysard Puigbo Llobet ◽  
...  

AbstractFuture applications of robotic technologies will involve interactions with non-expert humans as machines will assume the role of companions, teachers or healthcare assistants. In all those tasks social behavior is a key ability that needs to be systematically investigated and modelled at the lowest level, as even a minor inconsistency of the robot’s behavior can greatly affect the way humans will perceive it and react to it. Here we propose an integrated architecture for generating a socially competent robot.We validate our architecture using a humanoid robot, demonstrating that gaze, eye contact and utilitarian emotions play an essential role in the psychological validity or social salience of Human-Robot Interaction (HRI). We show that this social salience affects both the empathic bonding between the human and a humanoid robot and, to a certain extent, the attribution of a Theory of Mind (ToM). More specifically, we investigate whether these social cues affect other utilitarian aspects of the interaction such as knowledge transfer within a teaching context.


Author(s):  
Hugo Romat ◽  
Mary-Anne Williams ◽  
Xun Wang ◽  
Benjamin Johnston ◽  
Henry Bard

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.


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