Modeling and Analysis of Semi-Automated Fusion in the Intelligence Process
Abstract
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Mar 01, 2012
- Accession Number
- ADA559374
Entities
People
- Kristin M. Schweitzer
Organizations
- United States Army Research Laboratory