Backchannel opportunity prediction for social robot listeners

@article{Park2017BackchannelOP,
  title={Backchannel opportunity prediction for social robot listeners},
  author={Hae Won Park and Mirko Gelsomini and Jin Joo Lee and Tonghui Zhu and Cynthia Breazeal},
  journal={2017 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2017},
  pages={2308-2314}
}
This paper investigates how a robot that can produce contingent listener response, i.e., backchannel, can deeply engage children as a storyteller. We propose a backchannel opportunity prediction (BOP) model trained from a dataset of children's dyad storytelling and listening activities. Using this dataset, we gain better understanding of what speaker cues children can decode to find backchannel timing, and what type of nonverbal behaviors they produce to indicate engagement status as a listener… Expand
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