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Accession Number
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ADA559374
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Title
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Modeling and Analysis of Semi-Automated Fusion in the Intelligence Process.
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Publication Date
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Mar 2012
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Media Count
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52p
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Personal Author
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K. M. Schweitzer
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Abstract
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Technology today provides more data than humans can possibly analyze manually. Semi-automation fusion (SAF), where a system filters and fuses information in preparation for human analysis, is one way to process and organize vast amounts of data for more efficient human handling. The question that arises is how SAF will affect the human's workload. This analysis quantified the impact that SAF might have on mission times and the cognitive workload for four Infantry Battalion S2-level intelligence analysts. The objectives were to determine and compare workloads for the analysts when using a manual information analysis process and when using a SAF-assisted process. Of particular interest was the analysis time to discovery time ratio. For this model, the ratio was higher with the SAF process, indicating that analysts were able to better employ their time and skills on analysis rather than information gathering. However, improvement is still needed in order for the analysts to fully exploit the available information while maintaining a reasonable cognitive workload level.
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Keywords
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Analysts
Cognition
Cognitive workload
Data fusion
Imprint modeling
Intelligence
Models
Saf(Semi-automation fusion)
Semiautomatic
Skills
Workload
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Source Agency
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Non Paid ADAS
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NTIS Subject Category
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88B - Information Systems
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Corporate Author
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Army Research Lab., Aberdeen Proving Ground, MD. Human Research and Engineering Directorate.
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Document Type
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Technical report
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Title Note
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Final rept. Oct 2008-Sept 2009.
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NTIS Issue Number
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1219
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Contract Number
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N/A
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