Title

Using Neuro-Physiological Data To Improve Feedback Timing

Abstract

The learning efficiency of complex tasks is an area being widely investigated in the literature. Specifically, many different instructional strategies have been developed in an effort to improve efficiency, especially within automated systems. Of particular interest are application methodologies which provide individual-ized recommendations. In this paper we compared the impact of individualized feedback based on both performance and real-time workload levels to feedback based on performance alone. Our data suggest pa-per-based knowledge acquisition test scores were not impacted by the intervention timing assisted by neuro-physiological measures. However, scenario-based decision-making performance scores were signifi-cantly improved when utilizing EEG data to aid intervention timing but not with eye-tracking data. Copyright 2013 by Human Factors and Ergonomics Society, Inc.

Publication Date

12-13-2013

Publication Title

Proceedings of the Human Factors and Ergonomics Society

Number of Pages

833-837

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1177/1541931213571181

Socpus ID

84889790806 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84889790806

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