Modeling and Mapping of Human Source Data

Abstract

This project is focused on development of a research framework for dynamic integration of information from hard (electronic) and soft (human) sensors. This framework includes representation of 2nd order uncertainty. The overall approach is based on three pillars: (1) traditional sensing resources ("S-space"), (2) dynamic communities of observers ("H-space") and (3) resources such as archived sensor data, blogs, reports, dynamic news reports from citizen reporters via the internet ("I-space). During this project we have developed an overall framework, implemented a distributed cyber infrastructure (an Extreme Events Laboratory) for conducting human in the loop experiments, performed literature reviews, and designed initial experiments related to focus of attention of human observers. In addition, we have developed some mathematical models for characterizing soft sensors and for knowledge representation.

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Document Details

Document Type
Technical Report
Publication Date
Mar 08, 2011
Accession Number
ADA546038

Entities

People

  • David L. Hall
  • James Llinas
  • Michael Mcneese

Organizations

  • Pennsylvania State University

Tags

Communities of Interest

  • Cyber
  • Electronic Warfare
  • Engineered Resilient Systems
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Cognitive Science
  • Computers
  • Data Fusion
  • Information Processing
  • Information Science
  • Literature Surveys
  • Mathematical Models
  • Military Research
  • Mobile Phones
  • Pattern Recognition
  • Personnel Management
  • Psychology
  • Situational Awareness
  • Social Media
  • Students
  • Test And Evaluation

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Distributed Systems and Data Platform Development

Technology Areas

  • Cyber
  • Microelectronics
  • Microelectronics - Microelectromechanical Systems
  • Space