Automated SAF Adaptation Tool (ASAT)

نویسندگان

  • Roy Stripling
  • Joseph T. Coyne
  • Anna Cole
  • Daniel Afergan
  • Raymond L. Barnes
  • Kelly A. Rossi
  • Leah Reeves
  • Dylan Schmorrow
چکیده

The purpose of this paper is to describe a new, user-friendly tool that will enable researchers and instructors to setup and run virtual environment scenarios that adapt to the VE user’s real-time performance and cognitive status. This tool, the Automated SAF Adaptation Tool (ASAT), will work with existing performance and cognitive state assessment software, and with existing semi-automated forces (SAF) behavior engines. ASAT will collect processed performance and cognitive state data from the assessment software and trigger SAF behavior setting manipulations that were pre-selected by the SAF operator. A key feature of ASAT is the ability to setup and execute these real-time manipulations without the need to alter code in either the assessment software

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تاریخ انتشار 2007