Title

Assessing Continuous Operator Workload with a Hybrid Scaffolded Neuroergonomic Modeling Approach

Document Type

Article

Publication Date

2-1-2017

Abstract

We aimed to predict operator workload from neurological data using statistical learning methods to fit neurological-to-state-assessment models.

Comments

The 'Link to Full Text' button on this record points to the freely-accessible article, hosted at the publisher website. The article is marked open access to read ("Green Open Access"). The publisher retains permissions to re-use and distribute this article.

PMID: 28146679

DOI

10.1177/0018720816672308

Source Publication

Human Factors

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