Global InformationImproved Performance Research Integration Tool information
 | This article needs additional citations for verification. (February 2023) |
 | |
| Developer(s) | Alion Science and Technology, Army Research Laboratory, U.S. Army CCDC Data and Analysis Center |
|---|---|
| Stable release | 4.6.60.0
|
| Written in | .NET Framework, C# |
| Operating system | Microsoft Windows |
| Type | Discrete Event Simulation |
| Website | www |
The Improved Performance Research Integration Tool (IMPRINT) is a suite of software tools developed by the Human Research and Engineering Directorate (HRED) of the United States Army Research Laboratory. IMPRINT is designed to analyze the interactions between soldiers, systems, and missions, aiding in the evaluation of soldier performance across various scenarios. This evaluation supports the optimization of military systems and training programs.[1]
It is developed using the .NET Framework. IMPRINT allows users to create discrete-event simulations as visual task networks with logic defined using the C# programming language. IMPRINT is primarily used by the United States Department of Defense to simulate the cognitive workload of its personnel when interacting with new and existing technology to determine manpower requirements and evaluate human performance.[2]
IMPRINT allows users to develop and run stochastic models of operator and team performance. IMPRINT includes three different modules: 1) Operations, 2) Maintenance, and 3) Forces. In the Operations module, IMPRINT users develop networks of discrete events (tasks) that are performed to achieve mission outcomes. These tasks are associated with the operator workload that the user assigns with guidance in IMPRINT. Once the user has developed a model, it can be run to predict the probability of mission success (e.g., accomplishment of certain objectives or completion of tasks within a given time frame), time to complete the mission, workload experienced by the operators, and the sequence of tasks (and timeline) throughout the mission. Using the Maintenance module users can predict maintenance manpower requirements, manning requirements, and operational readiness, among other important maintenance drivers. Maintenance models consist of scenarios, segments, systems, subsystems, components, and repair tasks. The underlying built-in stochastic maintenance model simulates the flow of systems into segments of a scenario and the performance of maintenance actions to estimate maintenance manhours for defined systems. The Forces module allows users to predict comprehensive and multilevel manpower requirements for large organizations composed of a diverse set of positions and roles. Each force unit consists of a set of activities (planned and unplanned) and jobs. This information, when modeled, helps predict the manpower needed to perform the routine and unplanned work done by a force unit.
IMPRINT helps users to assess the integration of personnel and system performance throughout the system lifecycle—from concept and design to field testing and system upgrades. In addition, IMPRINT can help predict the effects of training or personnel factors (e.g., as defined by Military Occupational Specialty) on human performance and mission success. IMPRINT also has built-in functions to predict the effects of stressors (e.g., heat, cold, vibration, fatigue, use of protective clothing) on operator performance (task completion time, task accuracy).
The IMPRINT Operations module uses a task network, a series of functions that decompose into tasks, to create human performance models.[3] Functions and tasks in IMPRINT models usually represent atomic units of larger human or system behaviors. One of IMPRINT's main features is its ability to model human workload. Users can specify visual, auditory, cognitive, and psychomotor workload levels for individual tasks which can measure overall workload for humans in the system and influence task performance.[4][5]
- ^ Mitchell, Diane K. (2003-09-01). Advanced Improved Performance Research Integration Tool (IMPRINT) Vetronics Technology Test Bed Model Development (Report). Fort Belvoir, VA: Defense Technical Information Center.
- ^ Rusnock, Christina F; Geiger, Christopher D (2013). Using Discrete-Event Simulation for Cognitive Workload Modeling and System Evaluation. IIE Annual Conference. Proceedings. Norcross. pp. 2485–2494. ProQuest 1471959351.
- ^ Laughery, Romn (1999). "Using discrete-event simulation to model human performance in complex systems". Proceedings of the 31st conference on Winter simulation Simulation---a bridge to the future - WSC '99. Vol. 1. pp. 815–820. doi:10.1145/324138.324506. ISBN 978-0-7803-5780-8. S2CID 18163468.
- ^ Mitchell, Diane K. (September 2003). Advanced Improved Performance Research Integration Tool (IMPRINT) Vetronics Technology Test Bed Model Development. Army Research Laboratory. DTIC ADA417350.
- ^ IMPRINT PRO user guide Vol 1. http://www.arl.army.mil/www/pages/446/IMPRINTPro_vol1.pdf