size, these results suggest that providing a robot with learning capabilities can improve its perception by users and also make the users prefer supervising it.
We show that humans tend to prefer interacting with a learning robot and will rate its capabilities higher even if the actual performance in the task was lower.
Thus, providing a robot with this capacity is a key improvement for further developments in socially interactive robotics. This work exploits a mirroring ...
We suggest that adding learning to a robot could reduce the apparent load felt by a user for a new task and improve the user's evaluation of the system, thus ...
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What is the process of perception as perceived by the robot?
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Providing a Robot with Learning Abilities Improves its Perception by Users. Senft, E., Baxter, P., Kennedy, J., & Belpaeme, T. In HRI 2016, pages 513–514 ...
Providing a robot with learning abilities improves its perception by users. Senft, E., Baxter, P., Kennedy, J., Lemaignan, S., & Belpaeme, T. In Proceedings ...
This paper identifies four key challenges in developing social robots that can learn from natural interpersonal interaction.
Emmanuel Senft, Paul Baxter , James Kennedy , Séverin Lemaignan , Tony Belpaeme: Providing a Robot with Learning Abilities Improves its Perception by Users.
This experimental study investigates the effects of different kinds of observed interpersonal robot adaptations (behavioral or persona adaptations)
Our work aims to improve robots' abilities to learn from the natural feedback that naive, human teachers provide. This is particularly important in settings ...