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Augmenting Robot Behaviors Using Physiological Measures of Workload State

G. Teo,L. Reinerman-Jones,3 Authors,Irwin L. Hudson

2016 · DOI: 10.1007/978-3-319-39955-3_38
Interacción · 7 Citations

TLDR

This study outlines the development and validation of algorithms for workload classification and discusses a workload manipulation paradigm, the evaluation of the algorithms for deriving a workload index that is individualized, and parameter selection for optimal classification.