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Towards predicting robot team performance

Jacob W. Crandall, Curtis W. Nielsen, Michael A. Goodrich

Year
2004
Citations
38

Abstract

In this paper we develop a method for predicting the performance of human-robot teams consisting of a single user and multiple robots. To predict the performance of a team, we first measure the neglect tolerance and interface efficiency of the interaction schemes employed by the team. We then describe a method that shows how these measurements can be used to estimate the team's performance. We validate the performance prediction algorithm by comparing predictions to actual results when a user guides three robots in an exploration and goal-finding mission; comparisons are made for various system configurations.

Keywords

RobotComputer scienceMeasure (data warehouse)Human–robot interactionInterface (matter)Artificial intelligenceHuman–computer interactionData miningOperating system

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