Information transfer within human robot teams: Multimodal attention management in human-robot interaction

Author(s):  
Bruce J. P. Mortimer ◽  
Linda R. Elliott
Author(s):  
Katelynn A. Kapalo ◽  
Elizabeth Phillips ◽  
Stephen M. Fiore

In order to create effective human-robot teams, robots must possess social capabilities that match the expectations of their human teammates. However the ability of robots to approximate human capacities is limited due to technological constraints. Human-animal teams have thus been suggested as a suitable analog for modeling teaming between humans and non-humans. Due to the limited capacity for animals to express their intentions, it follows that human-animal relationships can provide a basic framework for understanding how humans interpret information from teammates with limited social faculties. The purpose of this paper is provide research recommendations to identify specific areas in which human-animal teams can be used to model human-robot teams and to provide suggestions for investigating this model empirically in the context of social interaction.


2020 ◽  
Author(s):  
Shelly Bagchi ◽  
Murat Aksu ◽  
Megan Zimmerman ◽  
Jeremy A. Marvel ◽  
Brian Antonishek ◽  
...  

Procedia CIRP ◽  
2019 ◽  
Vol 79 ◽  
pp. 614-619 ◽  
Author(s):  
Julia Berg ◽  
Albrecht Lottermoser ◽  
Christoph Richter ◽  
Gunther Reinhart

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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