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Participating Agencies - AFRL

Opportunity at Air Force Research Laboratory (AFRL)

Cognitive Effort and Metacognition

Location

Airman Systems Directorate, RHW/Training Group

RO# Location
13.15.02.C0750 Wright-Patterson AFB, OH 454337905

Advisers

name email phone
Christopher Adam Stevens christopher.stevens.28@us.af.mil 937-270-9285

Description

The goal of the project is to better understand the causes and consequences of cognitive load in complex task environments. We employ behavioral, subjective, and physiological (EEG, heart rate, and eye movement) methods to assess an individual’s workload level and we use models based in cognitive architectures to gain insights into the specific cognitive capacities involved (memory, perceptual processing, motor planning, etc.;  Stevens et al., 2019). We are also interested in understanding the cognitive events that drive subjective feelings of workload and metacognitive decisions about workload and effort. By identifying these capacities, we can develop targeted interventions that address potential causes of high workload. The project will involve analysis of behavioral and physiological data to identify patterns in related to workload conditions, expanding on an existing cognitive model to improve predictions, and/or reviewing relevant literature.

Stevens C.A., Fisher C.R., Morris M.B., Myers C., Spriggs S., Dukes A. (2019) Cognitive Metrics Profiling: A Model-Driven Approach to Predicting and Classifying Workload. In: Cassenti D. (eds) Advances in Human Factors in Simulation and Modeling. AHFE 2018. Advances in Intelligent Systems and Computing, vol 780. Springer, Cham

Keywords:
cognitive workload; cognitive models; metacognition; physiological metrics; multitasking

Eligibility

Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral and Senior applicants

Stipend

Base Stipend Travel Allotment Supplementation
$76,542.00 $4,000.00

$3,000 Supplement for Doctorates in Engineering & Computer Science

Experience Supplement:
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.

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