A5025169194- Human-Automation Interaction and Safety
- Healthcare Technology and Patient Monitoring
- Context-Aware Activity Recognition Systems
- Data Visualization and Analytics
- Personal Information Management and User Behavior
- Semantic Web and Ontologies
- Big Data and Business Intelligence
- Business Process Modeling and Analysis
- AI-based Problem Solving and Planning
- Bayesian Modeling and Causal Inference
- Air Traffic Management and Optimization
- Complex Systems and Decision Making
- Advanced Text Analysis Techniques
- Data Quality and Management
- Advanced Database Systems and Queries
- Autonomous Vehicle Technology and Safety
Aptima (United States)
2010-2017
For humans and automation to collaborate perform tasks effectively, all participants need access a common representation of potentially relevant situational information, or context. This article describes general framework for building context‐aware interactive intelligent systems that comprises three major functions: (1) capture human‐system interactions infer implicit context; (2) analyze predict user intent goals; (3) provide effective augmentation mitigation strategies improve...
The Undersea Warfare Decision Support System (USW-DSS) will enhance Naval Fleet capabilities by providing a "Common Tactical Picture" between platforms. However, USW-DSS encapsulates number of mission-critical tasks across many contexts, necessitating solutions to improve multi-tasking and context switching. As part Small Business Innovation Research (SBIR) project, we have formulated an approach fill this gap developing Flexible Autonomous To Aid Context Task Switching (FAST-ACTS)....
To meet the growing demands of National Airspace System (NAS) stakeholders and provide level service, safety security needed to sustain future air transport, Next Generation Air Transportation (NextGen) concept calls for technologies systems offering increasing support from automated that decision-aiding optimization capabilities. This is an exciting application some core aspects Artificial Intelligence research since automation must be designed enable human operators access process a myriad...
Recent advances in artificial intelligence have demonstrated that the future of work will be defined by collaborative human-machine teams. In order to effective, teams rely on context-aware systems enable collaboration. this paper, we present three lessons learned from past five years developing believe improve system design. First, semantic activity must captured, modeled, and analyzed reasoning across missions, actors, content. Second, require multiple, federated data stores optimize team...
We present a prototype visual analytics tool for facilitating analysis in collaborative team setting by providing flexible platform visualizing and exploring multiple linked dataseis as unified graph model. Our approach uses Layered Graph Model to connect afford querying across data. used this explore form hypotheses about the disappearance on Kronos Mini-Challenge 1, revealing some initial strengths weaknesses of approach.