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Collaboration and Visualization
Collaboration and Visualization focuses on technologies that support
effective use of information systems by individuals and groups. Crucial
to the success of such systems are the presentation of information, strategies
for organizing its manipulation, and support for geographically and temporally
dispersed users interacting with each other and with the information they
need and create.
Achieving
Operator Synergism in Interaction with Virtual Image Displays
Bedford and Washington
Problem
The potential for personal empowerment becomes more real as advances in
mobile computing (e.g., hand-held and wearable devices) enable convergence
between computing and communication. However, a suitable interaction model
for these types of devices has not yet been thoroughly defined, and manufacturers
and interaction designers are still trying to determine the types of applications
that are appropriate for this technology.
Objectives
Our current understanding of graphics computing and display technology
is challenged by the notion of mobile computing and portable information
spaces, and we need to consider task characteristics and information processing
mechanisms and required design features. We will examine the roles that
computer graphics and “mediated” reality may play and consider
the use of multiple modalities for information “display.”
Activities
We have investigated the tradeoffs associated with both wearable computers
and wearable displays and have documented the characteristics of available
technology. An essential component is the ability to track user location
so that computer-generated information can be overlaid on the real world.
The plan is to integrate tracking technology with the wearable devices
and build an application that exploits this capability.
Impacts
This work positions MITRE as a government resource in the area of portable
visual displays for the next generation in wearable computing. As information
complexity increases and data portability becomes more critical, the issues
examined here will enable MITRE to define guidelines and develop a seamless,
natural, and usable interface for providing access to visually intensive
data.
Joint
Time Sensitive Targeting (TST) Experimentation
James Dear, Principal Investigator
Washington
Problem
Each military service is independently pursuing unique systems and technologies
for TST, with some of the application development and integration efforts
occurring in selected service laboratories. These labs address various
components of the TST process individually. However, these disparate development
and integration efforts could present problems to a joint contingency
operation in which multiple services may be prosecuting the same time
critical targets.
Objectives
The primary objective of this project will be to demonstrate inter-service
technical and operational interoperability in TST through a series of
intra-MITRE laboratory experiments. A collateral objective is to identify
and demonstrate technologies that will enhance this interoperability.
Activities
We will determine and resolve service differences related to TST, identify
possible technical interoperability problems or shortfalls, determine
and apply metrics to judge process improvements, identify/recommend solutions
to the problems/shortfalls, and experiment with technologies that address
or identify shortfalls. We will help evolve and mature an inter-service
concept of operations for TST and prepare a technical report to guide
an acquisition strategy.
Impacts
The TST experiments will address specific concerns of OSD and program
executive officers. Recommendations in the report could influence R&D
and acquisition decisions of the various services, as well as Air Land
Sea Applications documents and joint targeting doctrine. Ideally, this
work will result in the services’ developing and executing their
own program of regular TST experimentation between their respective labs.
The government point of contact for this project is the Office of the
Secretary of Defense (OSD), Dr. V. Garber, Director for Systems Integration,
Office of the Under Secretary of Defense for Acquisition,
Technology and Logistics.
Probabilistic Traffic Flow
Management Demand Visualization
Craig Wanke, Principal Investigator
Washington
Problem
TFM decisions are based on imperfect predictions of demand; however, prediction
uncertainty is not explicitly factored into the decision-making process.
In the current Enhanced Traffic Management System (ETMS), demand predictions
are presented as “truth,” even though traffic managers are
aware of the uncertainty around them. This can result in unnecessary actions
and conservative decisions.
Objectives
Our objective is to explore ways to manage the impact of uncertain demand
predictions on TFM decision-making. To do this, we must quantify the uncertainty
present in the demand predictions used in current TFM operations, and
develop candidate visualization techniques and procedures for using this
uncertainty to improve decision making.
Activities
We will (1) review past work in the areas of aircraft trajectory prediction,
visualization of uncertain information, and decision making in the presence
of uncertainty; (2) develop mathematical models to relate trajectory prediction
accuracy to uncertainty in TFM predictions; and (3) explore techniques
for and associated human factors issues involved in presenting uncertain
information to TFM decision makers.
Impacts
The results of this work will be useful in identifying weak points in
present-day TFM decision making, in improving the utility of TFM decision
support tools currently being developed in the CAASD FAA work program,
and in developing prediction performance requirements for future TFM decision
support systems.
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