Intelligent Filtering for Augmented Reality

Abstract

Recent developments in computing hardware have begun to make mobile and wearable Augmented Reality (AR) systems a reality. With this new freedom, AR systems can now be used in a very wide range of applications including disaster relief, localization and repair of utilities and even as an assistant for tourists walking through unfamiliar historical sites. This paper considers the use of AR to assist with the task of warfighting in an urban environment. Urban environments are compact, complicated and can be highly dynamic. Any successful AR system must overcome a host of challenges including the need for a robust tracking systems and wearable hardware and must present the information to the user an intuitive and informative manner. This paper considers the problem of designing a user interface which avoids information overload through automatically managing the graphical context which is displayed to the user. We describe the paradigm of an information filter - a decision mechanism that uses the user's location, the user's current goal and the properties of objects within the environment to deduce what information should be displayed.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2000
Accession Number
ADA606332

Entities

People

  • Larry Rosenblum
  • Marco Lanzagorta
  • Sabrina Sestito
  • Simon J Julier

Organizations

  • United States Naval Research Laboratory

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Augmented Reality
  • Computers
  • Databases
  • Environment
  • Graphics
  • Human-Computer Interaction
  • Information Overload
  • Information Systems
  • Military Operations
  • Military Research
  • Navigation
  • Object-Oriented Database Management Systems
  • Strategic Attack
  • Three Dimensional
  • User Interface
  • Wearable Computers
  • Wearable Technology

Fields of Study

  • Computer science

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Database Systems and Applications
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.