Responsive Joint Attention in Human-Robot Interaction

Joint attention has been shown to be not only crucial for human-human interaction but also human-robot interaction. Joint attention can help to make cooperation more efficient, support disambiguation in instances of uncertainty and make interactions appear more natural and familiar. In this paper, w...

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Published in:Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems pp. 1080 - 1087
Main Authors: Pereira, Andre, Oertel, Catharine, Fermoselle, Leonor, Mendelson, Joe, Gustafson, Joakim
Format: Conference Proceeding
Language:English
Published: IEEE 01.11.2019
Subjects:
Atmospheric measurements
Attention mechanisms
Intelligent robots
Particle measurements
Problem-solving
Proposals
Robots
Social robots
Uncertainty
Visualization
ISSN:2153-0866
Online Access:Get full text
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Abstract Joint attention has been shown to be not only crucial for human-human interaction but also human-robot interaction. Joint attention can help to make cooperation more efficient, support disambiguation in instances of uncertainty and make interactions appear more natural and familiar. In this paper, we present an autonomous gaze system that uses multimodal perception capabilities to model responsive joint attention mechanisms. We investigate the effects of our system on people's perception of a robot within a problem-solving task. Results from a user study suggest that responsive joint attention mechanisms evoke higher perceived feelings of social presence on scales that regard the direction of the robot's perception.
AbstractList Joint attention has been shown to be not only crucial for human-human interaction but also human-robot interaction. Joint attention can help to make cooperation more efficient, support disambiguation in instances of uncertainty and make interactions appear more natural and familiar. In this paper, we present an autonomous gaze system that uses multimodal perception capabilities to model responsive joint attention mechanisms. We investigate the effects of our system on people's perception of a robot within a problem-solving task. Results from a user study suggest that responsive joint attention mechanisms evoke higher perceived feelings of social presence on scales that regard the direction of the robot's perception.
Author Pereira, Andre
Mendelson, Joe
Gustafson, Joakim
Oertel, Catharine
Fermoselle, Leonor
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  givenname: Catharine
  surname: Oertel
  fullname: Oertel, Catharine
  organization: Computer-Human Interaction Lab for Learning & Instruction at École Polytechnique Fédérale de Lausanne,Switzerland
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  surname: Fermoselle
  fullname: Fermoselle, Leonor
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  surname: Mendelson
  fullname: Mendelson, Joe
  organization: KTH Royal Institute of Technology,Speech, Music and Hearing Lab, EECS,Stockholm,Sweden
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  givenname: Joakim
  surname: Gustafson
  fullname: Gustafson, Joakim
  organization: KTH Royal Institute of Technology,Speech, Music and Hearing Lab, EECS,Stockholm,Sweden
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Snippet Joint attention has been shown to be not only crucial for human-human interaction but also human-robot interaction. Joint attention can help to make...
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SubjectTerms Atmospheric measurements
Attention mechanisms
Intelligent robots
Particle measurements
Problem-solving
Proposals
Robots
Social robots
Uncertainty
Visualization
Title Responsive Joint Attention in Human-Robot Interaction
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