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arXiv · 1805.07719

Balancing Shared Autonomy with Human-Robot Communication

Rosario Scalise·Yonatan Bisk·Maxwell Forbes·Daqing Yi·Yejin Choi·Siddhartha Srinivasa
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Abstract

Robotic agents that share autonomy with a human should leverage human domain knowledge and account for their preferences when completing a task. This extra knowledge can dramatically improve plan efficiency and user-satisfaction, but these gains are lost if communicating with a robot is taxing and unnatural. In this paper, we show how viewing humanrobot language through the lens of shared autonomy explains the efficiency versus cognitive load trade-offs humans make when deciding how cooperative and explicit to make their instructions.

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Rosario Scalise, Yonatan Bisk, Maxwell Forbes, Daqing Yi, Yejin Choi, Siddhartha Srinivasa. 2018-05-20. Balancing Shared Autonomy with Human-Robot Communication. https://arxiv.org/abs/1805.07719

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