Helpfulness as a Key Metric of Human-Robot Collaboration
October 10, 2020 Β· Declared Dead Β· π arXiv.org
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Authors
Richard G. Freedman, Steven J. Levine, Brian C. Williams, Shlomo Zilberstein
arXiv ID
2010.04914
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.RO
Citations
11
Venue
arXiv.org
Last Checked
4 months ago
Abstract
As robotic teammates become more common in society, people will assess the robots' roles in their interactions along many dimensions. One such dimension is effectiveness: people will ask whether their robotic partners are trustworthy and effective collaborators. This begs a crucial question: how can we quantitatively measure the helpfulness of a robotic partner for a given task at hand? This paper seeks to answer this question with regards to the interactive robot's decision making. We describe a clear, concise, and task-oriented metric applicable to many different planning and execution paradigms. The proposed helpfulness metric is fundamental to assessing the benefit that a partner has on a team for a given task. In this paper, we define helpfulness, illustrate it on concrete examples from a variety of domains, discuss its properties and ramifications for planning interactions with humans, and present preliminary results.
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