Template-based and pattern-driven approach to situation awareness and assessment in virtual humans

  • Weixiong Zhang
  • , Randall W. Hill

Research output: Contribution to conferencePaperpeer-review

30 Scopus citations

Abstract

Situation awareness and assessment are fundamental components of rational virtual humans. They are central parts of models of virtual humans and critical elements of efficient reasoning and planning systems. In this paper, we describe our efforts of developing the capability of situation awareness in autonomous helicopter pilots in a military domain. After briefly describing the motivations of this research, we present an agent architecture that integrates perception, reasoning with situation awareness, and actions. We describe a representation of situations, methods for situation assessment, and applications of situation awareness in information collection, and creating focused attention. The quantitative measure from our experiment shows that by using focused attention based on the ability of situation awareness, the perceptional load of virtual pilots is significantly reduced, reducing pilots' response time by more than 50 percent.

Original languageEnglish
Pages116-123
Number of pages8
StatePublished - 2000
Event4th International Conference on Autonomous Agents - Barcelona, Spain
Duration: Jun 3 2000Jun 7 2000

Conference

Conference4th International Conference on Autonomous Agents
CityBarcelona, Spain
Period06/3/0006/7/00

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