A Three Pronged Approach for Improved Data Understanding: 3-D Visualization, Use of Gaming Techniques, and Intelligent Advisory Agents
Abstract
Applications of multi-sensor fusion span a variety of domains. Rapid advances in data collection and dissemination provide the opportunity for major improvements in the information gathering aspect. However, information analysts are drowning in a sea of data but unable to obtain the knowledge that they need. This has often been referred to as the data overload dilemma or more recently framed "cogmenutia fragmentosa". The wealth of data has not produced a commensurate improvement in analyst abilities. This paper describes a three-pronged approach to improve information understanding including; (1) use of 3-D visualization and interaction techniques, (2) role-playing gaming (RPG) concepts, and (3) use of team-based intelligent advisory agents (cyber-advisors). The environment promotes rapid development and evaluation of hypotheses regarding evolving complex situations in an environment in which enormous amounts of data and information are available, but for which there is no clear mapping between observables and underlying threat conditions or activities. Use of advanced visualization techniques and gaming concepts assist in focusing the analysts attention and promotes an interactive, creative analysis process in which hypotheses are formulated, evaluated, criticized, modified, and changed. The use of gaming techniques leverages the skills of new analysts, already experienced in gaming technologies. Comments are made concerning the application of this approach to understanding network information.
Document Details
- Document Type
- Technical Report
- Publication Date
- Oct 01, 2006
- Accession Number
- ADA477174
Entities
People
- David L. Hall
- John Yen
- Magy S. El-nasr
- Michael Mcneese
Organizations
- Pennsylvania State University