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https://hdl.handle.net/11681/37335| Title: | Foundations of Mission Analysis Storytelling (FOMAS) |
| Authors: | Perkins, Timothy K. Yu, Harland F. Sovine, Sean R. |
| Keywords: | Military planning--United States Military planning--Computer programs Military intelligence--Analysis Automation Algorithms |
| Publisher: | Construction Engineering Research Laboratory (U.S.) Geospatial Research Laboratory (U.S.) Engineer Research and Development Center (U.S.) |
| Series/Report no.: | Technical report (Engineer Research and Development Center (U.S.));no. ERDC TR-20-12 |
| Abstract: | Mission analysis is a critical step in military planning and decision-making. It is currently time-consuming for analysts, who have few automated tools. The Foundations of Mission Analysis Storytelling (FOMAS) project developed algorithms, tools, and methods to automate sensemaking for mission analysis, which reduces the time and increases the effectiveness of the process. This report describes the FOMAS research, specifically as it relates to storytelling and link analysis. It includes d escriptions of storytelling and a related prototype implementation, “Spatio-temporal Retrieval and Introspection of Data and Embedded Relationships, (STRIDER).” It also describes user engagements involving STRIDER and a prototype information collection and processing tool, the Big Open Source Social Science (BOSSS). The focus for this project was placed on capability development and adaptation. Both STRIDER and BOSSS underwent limited testing that demonstrated promise and received positive user feedback. However, project time did not allow for detailed rigorous technical evaluations of the prototypes. The team recommends further investigation and development of these automation tools to improve mission analysis for analysts. |
| Description: | Technical Report |
| Gov't Doc #: | ERDC TR-20-12 |
| Rights: | Approved for public release; distribution is unlimited |
| URI: | https://hdl.handle.net/11681/37335 http://dx.doi.org/10.21079/11681/37335 |
| Appears in Collections: | Technical Report |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ERDC TR-20-12.pdf | 7.25 MB | Adobe PDF |  View/Open |