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Generalizability Of Predictive Performance Optimizer Predictions Across Learning Task Type, Haley Pace Wilson
Generalizability Of Predictive Performance Optimizer Predictions Across Learning Task Type, Haley Pace Wilson
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The purpose of my study is to understand the relationship of learning and forgetting rates estimated by a cognitive model at the level of the individual and overall task performance across similar learning tasks. Cognitive computational models are formal representations of theories that enable better understanding and prediction of dynamic human behavior in complex environments (Adner, Polos, Ryall, & Sorenson, 2009). The Predictive Performance Optimizer (PPO) is a cognitive model and training aid based in learning theory that tracks quantitative performance data and also makes predictions for future performance. It does so by estimating learning and decay rates for specific …
Alternative Indices Of Performance: An Exploration Of Eye Gaze Metrics In A Visual Puzzle Task, Sheldon M. Russell
Alternative Indices Of Performance: An Exploration Of Eye Gaze Metrics In A Visual Puzzle Task, Sheldon M. Russell
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Of interest to the U.S. Air Force is the ability to develop and characterize the level of workload that operators are under at any given point. When an operator's cognitive resources exceed demands, a 'red line' of performance may be crossed after which performance breaks down. What is needed is an estimate of operator state; a 'dipstick' for the operator in order to assess the level of 'resources' available, in order to avoid performance problems. Traditional approaches use secondary tasks (e.g., mental arithmetic) or secondary physiological measures (e.g., heart rate variability) for state assessment. However, the current work was motivated …