User Experience

Our user experience effort focuses on the development and assessment of prototype decision support systems that help integrate our R&D in technology and tradecraft. Our goal is to develop front-end user experiences that allow analysts to leverage appropriate back-end analytic techniques and technology by making them available as modular components in a service-oriented computing architecture.

The user experience is where Anticipatory Intelligence tradecraft meets predictive analytics. We target our work in analytics to focus on question and hypothesis generation and management, data triage and exploration, data visualization, selecting measurably relevant information, assessing data veracity, and developing predictions across a range of scenarios and data representations. Our goal is to provide technology, tradecraft, and tools that can swiftly and collaboratively be repurposed as new challenges emerge: detecting and modeling the members of a new social movement and their behaviors, understanding the emergence of a new technology, or understanding the behavior of competitors/adversaries in a business or analytic sector.

Some of the key enabling areas of research and application include:

  • Recommender systems
  • Visual analytics for data exploration and triage
  • Feature extraction and anomaly detection in large, multimodal data
  • Automated and semi-automated hypothesis generation
  • Metrics for data veracity, relevance, and utility
  • Question decomposition and evidence mapping
  • Prediction and uncertainty quantification

RCS Storyboarding Workshop

LAS hosted a one day, hands-on storyboarding workshop, developed and facilitated by Resilient Cognitive Solutions (RCS), at NC State. LAS participants included USG, industry and academic personnel. All practiced individual skills necessary for storyboarding (e.g., sketching, use case development, scenario development) and learned how to integrate storyboarding into an innovative concept development process. This unique approach is important to design efforts as it helps advance multiple parallel threads, therefore making it a great way to make big strides with a relatively small investment.

First, it solidifies the use case into something tangible, this ensures that as design efforts are underway, they can be kept grounded. Second, it serves to stimulate creative thinking by encouraging the thought process that binds pieces of a Joint Cognitive System (JCS) together, ultimately this leads to a more cohesive design. Finally, it can help in bringing to light implicit tasks and requirements for design efforts.

user experience

Connect With Us

LAS aims to bring together a multi-disciplinary group of academic, industry, and government researchers, analysts and managers together to re-engineer the intelligence analysis process to promote predictive analysis. LAS will do this by conducting both classified and unclassified research in a variety of areas of research. The research done in this area will serve as the foundation for mission effects and integrated back into the enterprise.

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