Challenges in Deictic Gesture-Based Spatial Referencing for Human-Robot Interaction in Construction

2021 ◽  
Author(s):  
Sungboo Yoon ◽  
Yeseul Kim ◽  
Changbum Ahn ◽  
Moonseo Park
Author(s):  
Scott A. Green ◽  
Mark Billinghurst ◽  
XiaoQi Chen ◽  
J. Geoffrey Chase

Future space exploration will demand the cultivation of human-robotic systems, however, little attention has been paid to the development of human-robot teams. Current methods for autonomous plan creation are often complex and difficult to use. So a system is needed that enables humans and robotic systems to naturally and effectively collaborate. Effective collaboration takes place when the participants are able to communicate in a natural and effective manner. Grounding, the common understanding between conversational participants, shared spatial referencing and situational awareness, are crucial components of communication and collaboration. This paper briefly reviews the fields of human-robot interaction and Augmented Reality (AR), the overlaying of computer graphics onto the real worldview. The strengths of AR are discussed and how they might be used for more effective human-robot collaboration is described. Then a description of an architecture that we have developed is given that uses AR as a means for real time understanding of the shared spatial scene. This architecture enables grounding and enhances situational awareness, thus laying the necessary groundwork for natural and effective human-robot collaboration.


2020 ◽  
Vol 134 ◽  
pp. 103654
Author(s):  
Fethiye Irmak Doğan ◽  
Sarah Gillet ◽  
Elizabeth J. Carter ◽  
Iolanda Leite

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.


Sign in / Sign up

Export Citation Format

Share Document