SBIR/STTR Research Award

Interactive Dynamic Analysis

Award identifier a18cc5bfa649bc8b0848b5d4feb4e082d1772b1dff4dc2214e47af339e7b9347Awarding agency Department of Defense · Air Force

Award amount

$150,000

Program and phase

SBIR · Phase I

Award year

2014

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Intelligent Automation, Inc.
Proposal award date
2014-07-18
Contract end date
2015-04-23
UEI
C3QJD7VXG167
Solicitation number
2014.1
Topic code
AF141-032

Research abstract

ABSTRACT: Air and Space Operations Center (AOC) planners need to consider DIME activities and PMESII effects when constructing or selecting a Course of Action (COA) ,and when sharing their thoughts and knowledge with representatives from others. To construct a visualization tool that leads planners to consider non-kinetic effects and enables knowledge sharing of DIME and PMESII factors, the IAI team will use its successful User Centered Design process and our strong team members to create our Interactive Decision Analysis tool. Our team includes three experienced AOC planners (from Engility Corp.), a world-class decision scientist (Dr. Don MacGregor), and ISS, a software firm that makes the software for the AOC, and Human Factors Engineers and Graphic Artists from Intelligent Automation Inc. We will spend Phase I collaborating to build a great design, Phase II incorporating it into existing AOC software and testing it, and Phase III transitioning it across AOC and other C2 operations. While we do not want to specify a solution prematurely, our early conversations with Engility SMEs have been most productive. While they do consider non-kinetic effects regularly, we are leaning toward an interface that guides them to consider non-kinetic factors and interactions through which they share knowledge. BENEFIT: Air Force military planners need to consider all the effects of their missions, not just the military effects. While military planners do that, they need to understand the outputs from the mathematical algorithms that consider all the possible effects. We will provide users of decision support tools ways to interact with model outputs so they come to understand and trust the models. The commercialization of this system can be applied to any decision support system that uses the common multi-attribute decision analysis algorithm to recommend a COA. While we will demonstrate the utility of this system in AOCs, it can be useful for a wide variety of other uses, many with strong commercial possibilities: The closest uses are for other military planners. Not just in the AOC, but for planners in other Air Force planning venues and in planning in the other services. Decision planning with understanding through guided interactions can be useful organizations with security and public safety functions similar to the military: police forces, fire services, and specialized law enforcement agencies, such as the DEA or the FBI. Decision planning with guided interactions will be useful for individuals choosing between medical treatment options (and their organizations which provide those treatments, like Kaiser.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

1,182 SBIR/STTR records share this UEI (1987–2021). Reported award amounts total $369,972,257. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Transportation, Department of Health and Human Services, National Science Foundation, Department of Homeland Security

Agency intelligence

Department of Defense

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