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Accession Number ADA569836
Title Adaptable and Adaptive Automation for Supervisory Control of Multiple Autonomous Vehicles.
Publication Date Oct 2012
Media Count 6p
Personal Author B. Kidwell G. L. Calhoun H. A. Ruff R. Parasuraman
Abstract Supervisory control of multiple autonomous vehicles raises many issues concerning the balance of system autonomy with human interaction for optimal operator situation awareness and system performance. An unmanned vehicle simulation designed to manipulate the application of automation was used to evaluate participants' performance on image analysis tasks under two automation control schemes: adaptable (level of automation directly manipulated by participant throughout trials) and adaptive (level of automation adapted as a function of participants' performance on four types of tasks). The results showed that while adaptable automation increased workload, it also improved change detection, as well as operator confidence in task-related decision-making.
Keywords Adaptive systems
Automation
Awareness
Confidence level
Control
Decision making
Humans
Interactions
Operators(Personnel)
Optimization
Self operation
Simulation
Supervision
Symposia
Unmanned

 
Source Agency Non Paid ADAS
NTIS Subject Category 41G - Quality Control & Reliability
95D - Human Factors Engineering
Corporate Author Air Force Research Lab., Wright-Patterson AFB, OH.
Document Type Technical report
Title Note Conference paper.
NTIS Issue Number 1314
Contract Number N/A

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