Corpus ID: 211126848

Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction

@article{Scheunemann2020HumanPO,
  title={Human Perception of Intrinsically Motivated Autonomy in Human-Robot Interaction},
  author={Marcus M. Scheunemann and Christoph Salge and D. Polani and K. Dautenhahn},
  journal={ArXiv},
  year={2020},
  volume={abs/2002.05936}
}
A challenge in using robots in human-robot interaction (HRI) is to design behavior that is engaging enough to encourage voluntary, long-term interaction, yet robust to the perturbations induced by human interaction. Here we evaluate if a physical robot that generates its behavior based on its intrinsic motivations could address this challenge. We use an information theoretic quantity - predictive information maximization - as an intrinsic motivation, as simulated experiments showed that this… Expand
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