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Multiple robot / single human interaction: effects on perceived workload

Julie A. Adams

Year
2008
Citations
44

Abstract

This paper presents results from a user evaluation of a real multiple robot system in which the human's perceived workload and performance were measured. Participants completed tasks with one, two and four real heterogeneous mobile ground-based robots for indoor material transportation tasks. Twelve participants completed four trials of each task over two days. Generally speaking, little difference was found between the one- and two-robot tasks; however, perceived workload significantly increased while performance decreased during the four-robot task. A correlation analysis found that perceived workload increased as the number of commands (in total and by command type) and completion times increased. The highest number of accidents and user errors occurred during the four-robot task. In order to increase the number of robots a single human can supervise, the human must be provided with capabilities that reduce the number of required commands while also optimising the human's interactions with the robots.

Keywords

WorkloadRobotTask (project management)Human–computer interactionComputer scienceHuman–robot interactionSimulationReal-time computingArtificial intelligenceEngineering

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