Anticipating where to look: predicting the movements of mobile agents in complex terrain

  • Authors:
  • Randall W. Hill, Jr.;Youngjun Kim;Jonathan Gratch

  • Affiliations:
  • University of Southern California, Marina del Rey, CA;University of Southern California, Marina del Rey, CA;University of Southern California, Marina del Rey, CA

  • Venue:
  • Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 2
  • Year:
  • 2002

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Abstract

This paper describes a method for making short-term predictions about the movement of mobile agents in complex terrain. Virtual humans need this ability in order to shift their visual attention between dynamic objects-predicting where an object will be located a few seconds in the future facilitates the visual reacquisition of the target object. Our method takes into account environmental cues in making predictions and it also indicates how long the prediction is valid, which varies depending on the context. We implemented this prediction technique in a virtual pilot that flies a helicopter in a synthetic environment.