Affiliation:
1. North Carolina State University
Abstract
Humans interacting with robots face a complex task. Often the exchanges are mediated through an interface and impact the workload associated with a particular task. Within a human-robot system, an operator's perceived workload is very important. Effective workload measurement strategies are needed to ensure optimal human-robot interaction. Building upon traditional workload measures, the development of the human-robot interaction workload measure is introduced. The human-robot interaction workload measure provides several advantages beyond traditional subjective workload measures while providing a comprehensive account of the workload associated with human-robot systems.
Subject
General Medicine,General Chemistry
Cited by
11 articles.
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