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Title: A Diagnostic Human Workload Assessment Algorithm for Human-Robot Teams
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.  more » « less
Award ID(s):
1659746
PAR ID:
10055056
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Companion of the 2018 ACM/IEEE International Conference on Human-Robot Interaction
Page Range / eLocation ID:
123-124
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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