Monitoring expertise development during simulated UAV piloting tasks using optical brain imaging

Hasan Ayaz, Murat P. Çakir, Kurtuluş Izzetoǧlu, Adrian Curtin, Patricia A. Shewokis, Scott Bunce, Banu Onaral

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

49 Scopus citations


An accurate assessment of mental workload and expertise level would help improve operational safety and efficacy of human computer interaction for aerospace applications. The current study utilized functional near-infrared spectroscopy (fNIR) to investigate the relationship of the hemodynamic response in the anterior prefrontal cortex to changes in mental workload, level of expertise, and task performance during learning of simulated unmanned aerial vehicle (UAV) piloting tasks. Results indicated that fNIR measures are correlated to task performance and subjective self-reported measures; and contained additional information that allowed categorizing learning phases. Level of expertise does appear to influence the hemodynamic response in the dorsolateral/ventrolateral prefrontal cortices. Since fNIR allows development of portable and wearable instruments, it has the potential to be deployed in future learning environments to personalize the training regimen and/or assess the effort of human operators in critical multitasking settings.

Original languageEnglish (US)
Title of host publication2012 IEEE Aerospace Conference
StatePublished - May 22 2012
Event2012 IEEE Aerospace Conference - Big Sky, MT, United States
Duration: Mar 3 2012Mar 10 2012

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X


Other2012 IEEE Aerospace Conference
Country/TerritoryUnited States
CityBig Sky, MT

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science


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