Group-based Spatial Reference in Linguistic Human-Robot Interaction

2019 ◽  
pp. 325-330 ◽  
Author(s):  
Thora Tenbrink ◽  
Reinhard Moratz
2001 ◽  
Vol 10 (04) ◽  
pp. 589-611 ◽  
Author(s):  
REINHARD MORATZ ◽  
KERSTIN FISCHER ◽  
THORA TENBRINK

The question addressed in this paper is which types of spatial reference human users employ in the interaction with a robot and how a cognitively adequate model of these strategies can be implemented. In experiments we explored how human users approach an artificial communication partner, which was designed to mimic spatial reference among humans. Our findings show that spatial reference in human-robot interaction differs from natural situations in human-human interaction in seveal respects. For instance, many users unexpectedly employed fine-grained, path-based, instructions rather than specifying the intended goal object of the action directly. If instructions were not successful, participants created less and less complex descriptions. Those users who did specify the goal object were found to employ those kinds of spatial reference strategies implemented in our computational model. In particular, they exploited the presence of several similar objects by perceiving and referring to them linguistically as a group.


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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