Animal-robot interaction and biohybrid organisms

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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Shall I trust you? From child human-robot interaction to trusting relationships

10.31234/osf.io/jqfwp ◽

2019 ◽

Author(s):

Cinzia Di Dio ◽

Federico Manzi ◽

Giulia Peretti ◽

Angelo Cangelosi ◽

Paul L. Harris ◽

...

Keyword(s):

Behavioral Pattern ◽

Human Robot Interaction ◽

School Age Children ◽

Social Relevance ◽

Robot Interaction ◽

Cognitive Correlates ◽

The Social ◽

The Relationship

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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Mixed-Initiative Human-Robot Interaction: Definition, Taxonomy, and Survey

10.21236/ada620347 ◽

2015 ◽

Cited By ~ 3

Author(s):

Shu Jiang ◽

Ronald C. Arkin

Keyword(s):

Human Robot Interaction ◽

Robot Interaction ◽

Mixed Initiative

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An Open Source Emotional Speech Corpus for Human Robot Interaction Applications

10.21437/interspeech.2018-1349 ◽

2018 ◽

Cited By ~ 2

Author(s):

Jesin James ◽

Li Tian ◽

Catherine Inez Watson

Keyword(s):

Open Source ◽

Human Robot Interaction ◽

Emotional Speech ◽

Speech Corpus ◽

Robot Interaction

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Robustness Over Time-Varying Channels in DNN-HMM ASR Based Human-Robot Interaction

10.21437/interspeech.2017-1308 ◽

2017 ◽

Cited By ~ 1

Author(s):

José Novoa ◽

Jorge Wuth ◽

Juan Pablo Escudero ◽

Josué Fredes ◽

Rodrigo Mahu ◽

...

Keyword(s):

Human Robot Interaction ◽

Time Varying ◽

Robot Interaction ◽

Time Varying Channels ◽

Over Time

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Humans and humanoids

10.1093/oso/9780199674923.003.0047 ◽

2018 ◽

Author(s):

Giorgio Metta

Keyword(s):

Humanoid Robot ◽

Robot Vision ◽

Physical Space ◽

Humanoid Robots ◽

Human Robot Interaction ◽

Biologically Inspired ◽

Robot Interaction ◽

Humanoid Robotics ◽

Biomimetic Robot ◽

Compliant Actuation

This chapter outlines a number of research lines that, starting from the observation of nature, attempt to mimic human behavior in humanoid robots. Humanoid robotics is one of the most exciting proving grounds for the development of biologically inspired hardware and software—machines that try to recreate billions of years of evolution with some of the abilities and characteristics of living beings. Humanoids could be especially useful for their ability to “live” in human-populated environments, occupying the same physical space as people and using tools that have been designed for people. Natural human–robot interaction is also an important facet of humanoid research. Finally, learning and adapting from experience, the hallmark of human intelligence, may require some approximation to the human body in order to attain similar capacities to humans. This chapter focuses particularly on compliant actuation, soft robotics, biomimetic robot vision, robot touch, and brain-inspired motor control in the context of the iCub humanoid robot.

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