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Creators/Authors contains: "Heald, Rachel"

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  1. ; ; ; (, Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction)
    High-stress environments, such as a NASA Control Room, require optimal task performance, as a single mistake may cause monetary loss or the loss of human life. Robots can partner with humans in a collaborative or supervisory paradigm. Such teaming paradigms require the robot to appropriately interact with the human without decreasing either»s task performance. Workload is directly correlated with task performance; thus, a robot may use a human»s workload state to modify its interactions with the human. A diagnostic workload assessment algorithm that accurately estimates workload using results from two evaluations, one peer-based and one supervisory-based, is presented. 
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    Accepted Manuscript Full Text Available