Titlebook: Advances in Simulation and Digital Human Modeling; Proceedings of the A Julia L. Wright,Daniel Barber,Sudhakar L. Rajulu Conference proceed

ADOPT

Development of a Neural Network Algorithm to Detect Soldier Load from Environmental Speechduring an engagement (engaged, neutral, or no-speech). The model classified more than 99% of the training, validation, and test sets correctly. This information will allow us to design systems in which autonomous agents can prioritize, assist with, and take autonomous control of tasks.

sacrum

Incorporating Key Leader Engagement into Tactical Simulationsrect KLE experience and personifying an Intelligent Agent with the essentials of that experience are key to an engaging story. The process begins with front-end analysis (FEA) [.]. This paper describes that process pursuant to a simulation designed to train awareness of critical features of the KLE.

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Human-Autonomy Teaming with Learning Capable Agents: Performance and Workload Outcomesncy varied across four scenarios. Access to agent reasoning transparency improved task performance as assessed by percent of correct classifications. Agent learning transparency of inferred knowledge improved task response time and reduced cognitive workload. However, when the human was burdened wit

Pedagogy

Examining Vigilance in a Simulated Unmanned Aircraft System (UAS) Monitoring Taskd to the vigilance decrement [., .]. Research into potential methods to mitigate the effects of these tasks have proposed training, video game experience, and the potential of using music. This study examined the impact of listening to music during performance of a simulated UAS monitoring task on t