Currently, military instructors are faced with a number of training simulations that have been developed in support of their needs. However, despite the various (sometimes overlapping) training materials available, the instructor is  still  performing time-intensive and high workload preparation, execution, and post exercise activities manually, as these capabilities do not exist within (and across) extant training systems. Additionally, training preparation tends to be location-specific, in that training materials are not easily shared across those using the system, requiring each user to go back and 'reinvent' materials to better support his/her trainees.   However, it is critical that designs that take into account these deficiencies in current programs are grounded in field-tested methods that directly support how these functions are currently accomplished. Without a design based on user needs, resultant systems run the risk of not supporting target users. Given this, this paper will discuss an approach for gathering best practices from field users and identifying gaps where these practices are not supported within automated training systems. After, we will present the conceptualization of a system to address those needs, and the development and testing for select functions. Finally, we will discuss the target outcomes at the end of the project, and impact on user workload.
['Roberto K. Champney', 'Laura Milham', 'Tiffany Parrish', 'Christina Kokini', 'Kay M. Stanney']
Automating instruction support: insights from field research