Affiliation:
1. Air Force Research Laboratory
2. Infoscitex
Abstract
A key challenge facing automation designers is how to achieve an ideal balance of system automation with human interaction for optimal operator decision making and system performance. A performance-based adaptive automation algorithm was evaluated with two versus six monitored task types. Results illustrate the importance of level of automation choices in control schemes.
Subject
General Medicine,General Chemistry
Cited by
1 articles.
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1. Model Predictive Control of the Degree of Automation Optimizing Robot Health;2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI);2023-05-23