Abstract
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.
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Stripling, R. et al. (2007). Automated SAF Adaptation Tool (ASAT). In: Schmorrow, D.D., Reeves, L.M. (eds) Foundations of Augmented Cognition. FAC 2007. Lecture Notes in Computer Science(), vol 4565. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73216-7_39
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DOI: https://doi.org/10.1007/978-3-540-73216-7_39
Publisher Name: Springer, Berlin, Heidelberg
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