Accession Number : ADA626837


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


Descriptive Note : Final rept. 1 Aug 2013-2 Apr 2015


Corporate Author : AIR FORCE RESEARCH LAB WRIGHT-PATTERSON AFB OH HUMAN PERFORMANCE WING (711TH)


Personal Author(s) : Warren, Richard ; Schroeder, Paul J


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a626837.pdf


Report Date : 02 Apr 2015


Pagination or Media Count : 132


Abstract : 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.


Descriptors :   *DETECTION , *PERCEPTION , *RECONNAISSANCE , ANALYSTS , DYNAMICS , GRAMMARS , INDEXES , INTELLIGENCE , MEASUREMENT , PERFORMANCE(HUMAN) , PROBABILITY , SCENARIOS , SURVEILLANCE , TOPOLOGY


Subject Categories : Theoretical Mathematics
      Military Intelligence


Distribution Statement : APPROVED FOR PUBLIC RELEASE