Abstract
Various studies have shown that human visual attention is generally attracted by motion in the field of view. In order to embody this kind of social behavior in a robot, its gaze should focus on key points in its environment, such as objects or humans moving. In this paper, we have developed a social natural attention system and we explore the perception of people while interacting with a robot in three different situations: one where the robot has a totally random gaze behavior, one where its gaze is fixed on the person in the interaction, and one where its gaze behavior adapts to the motion-based environmental context. We conducted an online survey and an on-site experiment with the Meka robot so as to evaluate people’s perception towards these three types of gaze. Our results show that motion-oriented gaze can help to make the robot more engaging and more natural to people.
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Sorostinean, M., Ferland, F., Dang, THH., Tapus, A. (2014). Motion-Oriented Attention for a Social Gaze Robot Behavior. In: Beetz, M., Johnston, B., Williams, MA. (eds) Social Robotics. ICSR 2014. Lecture Notes in Computer Science(), vol 8755. Springer, Cham. https://doi.org/10.1007/978-3-319-11973-1_32
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DOI: https://doi.org/10.1007/978-3-319-11973-1_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11972-4
Online ISBN: 978-3-319-11973-1
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