Validation of Virtual Humanoid Intelligent Agents in Virtual Reality Systems
Abstract
One of the great benefits VR systems offer is their ability to
simulate a number of virtual humans when their presence is
needed in the context of some learning or training experience.
Being that the real humans may not be available to play different
roles and support virtual sessions, the ability of a system to
generate highly believable representations of autonomous virtual
humans - virtual intelligent agents - is vital in achieving specific
learning and training objectives. Eliminating the elements of the
system that can cause a negative learning and training transfer is a
paramount in those systems. We illustrate the results of two user
studies focused on validation of non-deterministic domainspecific
behaviors generated by our system (example: behaviors
typical for a well coordinated group of paramedics or military
unit). The results and observations confirmed that when it comes
to VR systems with stringent requirements and high expectations
for positive learning/training transfer, we still need humans to
evaluate and validate synthesized human-like agent behaviors.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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