Main Subcommittee Category: Human Performance Analysis and Engineering

How would you label your submission?: Government

Abstract:

The U.S. Army S&T is interested in using small, wearable sensors to automatically collect behavioral and physiological data from Soldiers in training to create a digital record of their performance and to augment trainer evaluation practices as they provide assessments and feedback. Collecting large amounts of data from wearable sensors is increasingly practical. Still, guidance is needed on how to visualize these data to support informed evaluations by expert observer-controller/trainers (OC/Ts). This paper describes our process for developing an example of such visualizations using an Army use case. Our team collected physiological and behavioral data to evaluate Army squad performance in a common infantry battle drill. In addition, we interviewed OC/Ts to determine what information they typically use to assess performance. Using their identified data needs to guide us, we developed a measurement framework that augments their evaluation process. Results from this study are presented and discussed in terms of how they promote a well-balanced, data-informed approach toward squad training and evaluation.

Keywords: HUMAN PERFORMANCE;TRAINING

Additional Keywords not in the list above: Army, Data Analytics, Physiological Measurement

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Meghan O'Donovan