Human performance assessment study in aviation using functional near infrared spectroscopy

Joshua Harrison, Kurtulus Izzetoglu, Hasan Ayaz, Ben Willems, Sehchang Hah, Hyun Woo, Patricia A. Shewokis, Scott C. Bunce, Banu Onaral

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

Functional near infrared (fNIR) spectroscopy is a field-deployable optical neuroimaging technology that provides a measure of the prefrontal cortex's cerebral hemodynamics in response to the completion of sensory, motor, or cognitive tasks. Technologies such as fNIR could provide additional performance metrics directly from brain-based measures to assess safety and performance of operators in high-risk fields. This paper reports a case study utilizing a continuous wave fNIR technology deployed in a real-time air traffic control (ATC) setting to evaluate the cognitive workload of certified professional controllers (CPCs) during the deployment of one of the Federal Aviation Administration's (FAA's) Next Generation (NextGen) technologies.

Original languageEnglish (US)
Title of host publicationFoundations of Augmented Cognition - 7th International Conference, AC 2013, Held as Part of HCI International 2013, Proceedings
Pages433-442
Number of pages10
DOIs
StatePublished - Oct 7 2013
Event7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013 - Las Vegas, NV, United States
Duration: Jul 21 2013Jul 26 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8027 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Conference on Foundations of Augmented Cognition, AC 2013, Held as Part of 15th International Conference on Human-Computer Interaction, HCI International 2013
CountryUnited States
CityLas Vegas, NV
Period7/21/137/26/13

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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