Scenarios using situation awareness in a simulation environment for eliciting insider threat behavior

2017 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) ◽

10.1109/cogsima.2017.7929611 ◽

2017 ◽

Cited By ~ 1

Author(s):

Lauren Reinerman-Jones ◽

Gerald Matthews ◽

Ryan Wohleber ◽

Eric Ortiz

Keyword(s):

Situation Awareness ◽

Insider Threat ◽

Simulation Environment ◽

Threat Behavior

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Insider Threat Behavior Factors: A Comparison of Theory with Reported Incidents

2012 45th Hawaii International Conference on System Sciences ◽

10.1109/hicss.2012.326 ◽

2012 ◽

Cited By ~ 12

Author(s):

Asmaa Munshi ◽

Peter Dell ◽

Helen Armstrong

Keyword(s):

Insider Threat ◽

Threat Behavior

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Comparison of Adaptive, Adaptable, and Hybrid Automation for Surveillance Task Completion in a Multi-Task Environment

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1541931218621036 ◽

2018 ◽

Vol 62 (1) ◽

pp. 155-159

Author(s):

Heath Ruff ◽

Gloria Calhoun ◽

Elizabeth Frost ◽

Kyle Behymer ◽

Jessica Bartik

Keyword(s):

Situation Awareness ◽

Human Interaction ◽

Task Completion ◽

Simulation Environment ◽

Level Of Automation ◽

Control Schemes ◽

Automation Control ◽

And Performance ◽

Task Simulation ◽

System Designs

Increasing applications of automation in system designs raise issues on how to achieve an ideal balance of automation with human interaction for optimal operator situation awareness and performance. This experiment examined four automation control schemes applied to surveillance tasks performed in a multi-task simulation environment. Participants completed trials with four level of automation (LOA) control schemes: fixed, performance-based adaptive, adaptable (participant controls LOA), and hybrid (adaptive and adaptable). Results showed that task accuracy was better when participants controlled LOA. Participants also preferred adaptable automation.

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