Turn-Taking Strategies for Human-Robot Peer-Learning Dialogue

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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.

Citation

Ranjini Das and Heather Pon-Barry. 2018. Turn-Taking Strategies for Human-Robot Peer-Learning Dialogue. To appear in Proceedings of the 19th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL).

Article

[ PDF ]

Resources

• Annotation Guide
• Sample transcript with annotations
• If you are interested in obtaining a copy of the annotated corpus for academic research purposes, please contact Heather Pon-Barry (ponbarry@mtholyoke.edu).