Human-robotic interaction presents numerous challenges to designers and operators. One way to address these challenges is through task automation. However, appropriate application of automation, reducing workload while keeping the operator informed and in control, without causing skill degradation, is not generally understood. In this paper, we describe a human performance modeling and simulation approach to evaluating the effects of automation on operator and system performance. In this research, we identify and combine relevant factors that affect operator performance into operator-robotic system interaction models. The result of this project will be a partially-validated tool to help system designers evaluate potential automation strategies for their expected effects on operator and system performance.
& Gacy, M.
(2011). Automation for Human-Robotic Interaction: Modeling and Predicting Operator Performance. 16th International Symposium on Aviation Psychology, 621-626.