Issues in Corpus Development for Multi-Party Multi-Modal Task-Oriented Dialogue

Abstract

This paper describes the development of a multi-modal corpus based on multi-party multi-task driven common goal oriented spoken language interaction. The data consists of approximately 10 hours of audio human simulation radio data and nearly 5 hours of video and audio face-to-face sessions between human trainees and virtual agents.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA459157

Entities

People

  • Bilyana Martinovski
  • David R Traum
  • Jens Stephan
  • Saurabh Garg
  • Susan Robinson

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Computer Programming
  • Computer Science
  • Flight Simulators
  • Frequency
  • Language
  • Linguistics
  • Military Training
  • Natural Languages
  • Personality
  • Radio Communications
  • Simulations
  • Simulators
  • Trainees
  • Training
  • Virtual Reality
  • Vocabulary

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Instructional Design and Training Evaluation.
  • Speech Processing/Speech Recognition.