Multi-Sensory, Multi-Modal Concepts for Information Understanding

Abstract

In recent years, extensive research has focused on the development of techniques for multi-sensor data fusion systems. These fusion systems process data from multiple sensors to develop improved estimates of the position, velocity, attributes, and identity of entities such as targets or entities of interest. Typically, the fused data are displayed on a geographical information display (e.g., data are overlaid on a map with terrain features, political information, and the data are shown as icons representing the observed entities). Analysts interpret the data to develop an assessment of an evolving situation or threat. Despite significant improvements in computer displays, haptic interface devices, and new three-dimensional full-immersion display capabilities, the data fusion displays have seen little changes to take advantage of a human s ability to access data. This paper describes two concepts for improved understanding of data; (1) the utilization of multiple human senses to interact with and interpret data, and (2) the dual use of language and vision to improve information understanding.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 2004
Accession Number
ADA427920

Entities

People

  • David L. Hall
  • Timothy S. Shaw

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Space

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Computers
  • Data Fusion
  • Data Visualization
  • Earth Sciences
  • Human-Computer Interfaces
  • Immersive Visualization
  • Information Processing
  • Information Science
  • Language
  • Neural Networks
  • Pattern Recognition
  • Recognition
  • Three Dimensional
  • Universities
  • Virtual Reality
  • Visualizations

Readers

  • Human-Computer Interaction (HCI).
  • Sensor Fusion and Tracking Systems.
  • Systems Analysis and Design