Development of Meta Level Communication Analysis using Temporal Data Crystallization and Its Application to Multi Modal Human Communication

Abstract

The purpose of this project is to develop methods to analyse human communication using the temporal data crystallization (TDC). The major achievement is the following four. (1) A method of meta-level discussion analysis. This method was shown to increase precision of TDC analysis by comparing the result of the target record to those of other similar records. Its usefulness was shown by applying it to an example case, (2) Another method to increase precision of TDC by using the nonverbal information during talking. Its effectiveness was shown by applying it to TV debate program, (3) Extraction of human relation by analyzing the Tsugo, which is meta level information of human relation such as intension of actions and their constraints, and (4) Behavioral analysis of people by utilizing ubiquitous sensor data such as acceleration sensor and a nearby sensor. TDC method was applied to face-to-face contact information and human relation was extracted.

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Document Details

Document Type
Technical Report
Publication Date
Jul 22, 2013
Accession Number
ADA587634

Entities

People

  • Katsumi Nitta

Organizations

  • Tokyo Institute of Technology

Tags

Communities of Interest

  • Autonomy
  • C4I
  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Agreements
  • Algorithms
  • Artificial Intelligence
  • Cognitive Science
  • Commerce
  • Computational Science
  • Crystallization
  • Detection
  • Equations
  • Extraction
  • Governments
  • Law
  • Machine Learning
  • Negotiations
  • Physical Activity
  • Precision
  • Systems Science

Readers

  • Computational Modeling and Simulation
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.