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 or the SAF engines. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Stripling, R., Coyne, J. T., Cole, A., Afergan, D., Barnes, R. L., Rossi, K. A., … Schmorrow, D. D. (2007). Automated SAF adaptation tool (ASAT). In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4565 LNAI, pp. 346–353). Springer Verlag. https://doi.org/10.1007/978-3-540-73216-7_39
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