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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Veröffentlicht in:Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems S. 1080 - 1087
Hauptverfasser: Pereira, Andre, Oertel, Catharine, Fermoselle, Leonor, Mendelson, Joe, Gustafson, Joakim
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.11.2019
Schlagworte:
Atmospheric measurements
Attention mechanisms
Intelligent robots
Particle measurements
Problem-solving
Proposals
Robots
Social robots
Uncertainty
Visualization
ISSN:2153-0866
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Zusammenfassung: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.
ISSN:2153-0866
DOI:10.1109/IROS40897.2019.8968130