Automated Story Direction and Intelligent Tutoring: Towards a Unifying Architecture

Abstract

Recently, interactive storytelling systems - systems that allow a user to make decisions that can potentially impact the direction of a narrative - have been applied to training and education. Interactive storytelling systems often rely on an automated story director to manage the user's experience. The focus of an automated director is the emergence of a narrative-like experience for the user. In contrast, intelligent tutors traditionally address the acquisition or strengthening of a learner's knowledge. Our goal is to build training simulations that cultivate compelling storylines while simultaneously maintaining a pedagogical presence by incorporating both automated story direction and intelligent tutoring into an immersive environment. But what is the relationship between an automated director and an intelligent tutor? In this paper, we discuss the similarities and differences of automated story directors and intelligent tutors and, based on our analysis, recommend an architecture for building narrative-based training simulations that utilize both effectively and without conflict.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2006
Accession Number
ADA459187

Entities

People

  • H. Clifford Lane
  • Mark Riedl
  • Randall Hill
  • William Swartout

Organizations

  • University of Southern California

Tags

Communities of Interest

  • Autonomy
  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Acquisition
  • Artificial Intelligence
  • Autonomous Agents
  • Computer Programs
  • Environment
  • Feedback
  • Leadership Training
  • Learning
  • Personality
  • Simulations
  • Simulators
  • Students
  • Supervisory Control
  • Trainees
  • Training
  • Virtual Reality

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Artificial Intelligence
  • STEM Education