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Opportunity at U.S. Army Research Laboratory (ARL)

Experimental Cognition in Adaptive Automation

Location

MD, FL, and AL-Human Research & Engineering Directorate, Human Research and Engineering Directorate

RO# Location
76.27.01.B7432 Aberdeen Proving Ground, MD 210055425

Advisers

Name E-mail Phone
Cassenti, Daniel Nicholas daniel.n.cassenti.civ@mail.mil 410.278.5859

Description

Adaptive automation—a human factors specialty area in which automation detects periods of difficulty while performing tasks and provides cognitive aids—is an emerging field that has profound implications, particularly for the military. As Soldiers perform greater and more complex tasks, mental workload increases, which tends to decrease performance. Adaptive automation provides just-in-time aid to the user based on any number of indicators, including user-initiated action, drops in performance, and physiological signals. To provide the guiding principles of adaptive automation, cognitive psychological research into the optimal triggering conditions for aid is required. Several topics may be investigated within this paradigm, including, but not limited to: (1) what drawbacks exist to triggering adaptive automation too early or too late? (2) What indicators are most relevant to the given cognitive tasks? (3) What aids provide the greatest benefits and to which stages of cognition? Research in adaptive automation may take the form of laboratory experimentation with controlled independent and dependent variables, field experimentation with flexible variables, and cognitive computer modeling of users engaged with automation. All are important directions, with the first preferred, when possible. The emerging nature of adaptive automation opens the possibility to a greater number of potential research topics and methods for enterprising researchers.

 

Keywords:
Adaptive automation; Cognition; Cognitive; Psychology; Human factors; Experimentation; Computational modeling;

Eligibility

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