Topological Entropy Measure of Artificial Grammar Complexity for Use in Designing Experiments on Human Performance in Intelligence, Surveillance, and Reconnaissance (ISR) Tasks.

摘要

In order to assist Intelligence, Surveillance, and Reconnaissance (ISR) analysts engaged in perception and detection tasks, it is necessary to understand how perception and detection depend on the complexity of a scene and the salience and probability of exogenous events confronting the perceiver. Determining the functional dependence of detection performance on scene complexity and frequency or rarity of scene-element occurrence requires a method for manipulating scenarios of differing complexity and the subsequent information stream available to an analyst, a useful index of scene event complexity, or at least, the complexity of the activity and information available in a scene and a method for determining the frequency or rarity of dynamic scene content.