@InProceedings{das-ponbarry:2018:SIGdial,
  author    = {Das, Ranjini  and  Pon-Barry, Heather},
  title     = {Turn-Taking Strategies for Human-Robot Peer-Learning Dialogue},
  booktitle = {Proceedings of the 19th Annual SIGdial Meeting on Discourse and Dialogue},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  pages     = {119--129},
  abstract  = {In this paper, we apply the contribution model of grounding to a corpus of human-human peer-mentoring dialogues. From this analysis, we propose effective turn-taking strategies for human-robot interaction with a teachable robot. Specifically, we focus on (1) how robots can encourage humans to present and (2) how robots can signal that they are going to begin a new presentation. We evaluate the strategies against a corpus of human-robot dialogues and offer three guidelines for teachable robots to follow to achieve more human-like collaborative dialogue.},
  url       = {http://www.aclweb.org/anthology/W18-5013}
}