Army Research Laboratory, Attn: AMSRL-CS-PR-AP, Abeerden Proving Grounds, MD 21005-5066

A -- R&D ADVANCED WORKLOAD MODELING VALIDATION SUPPORT IN WINCREW AND IMPRINT SOL W26238 8237-4002 DUE 091198 POC Jeanine Worthington, Contract Specialist, 410-278-6514, Jean Craig, Contracting Officer, 410-278-6517 The Army Research Laboratory (ARL) intends to negotiate with Micro Analysis and Design Inc. for Statement of Work, title: Advanced Workload Modeling Validation Support in WinCrew and IMPRINT. The Army Research Laboratory, Human Research & Engineering Directorate (HRED) has developed an advanced workload modeling technique as instantiated in two software tools, WinCrew and Improved Performance Research Integration Tool (IMPRINT). These techniques and theories are being validated as part of a multi-service, international cooperative program. Under the program, an initial attempt at validating leading workload models from the US, UK and Canada will be performed. Data collected by the US Air Force Research Laboratory in their STORM facility consists of two experiments -- the modeling experiment and the red line experiment and the results of these experiments are the agreed-upon validation data set. The US Army effort primarily focuses on the workload algorithm developed for the Crewcut tool and now used in WinCrew and IMPRINT. The US Army is also interested in the QE algorithm currently instantiated in the Atlas tool. However, the US Army is also very interested in the issue of how workload prediction can lead to improved human performance prediction. The US Army effort will focus on the implementation of the workload coping strategies available in WinCrew and IMPRINT as a method for relating workload levels in a dynamic environment to human performance effects. Proper performance of this effort requires specific expertise in cognitive psychology and human performance modeling, access to WinCrew, IMPRINT, IPME, and Atlas, and an in depth familiarity with current workload theory and algorithms. The objective of this effort is to build and manipulate ARL HRED developed workload modeling tools in order to validate them or to provide proven alternatives to improve their validity. It is expected that the contractor will have to evaluate and propose specific variants of the Crewcut or QE algorithms or a hybrid of the two. The effort will serve to examine the predictive value of modeling workload coping strategies. In the 14 weeks performance of this effort, the contractor shall execute these tasks: (1) Gather model input data, (2) Build models, (3) Conduct validation runs, (4) Compare model output to STORM data, (5) Adjust models and investigate other workload algorithms, (6) Develop detailed documentation of the models developed, the procedures used to accomplish tasks 2-5, and the results of tasks 2-5. Negotiations are planned solely with Micro Analysis and Design Inc. because of their specific expertise in cognitive psychology and human performance modeling, access to WinCrew, IMPRINT, IPME, Atlas, and MicroSaint source code, and an in depth familiarity with current workload theory and algorithms. The value of this procurement is estimated at less than $50,000. Interested persons may identify their interest and capability. Information received will be considered only for the purpose of determining whether to conduct a competitive procurement. Capabilities statement referencing W26238 8237-4002 must be faxed to Jeanine Worthington, 410-278-6522. Posted 08/26/98 (W-SN241925). (0238)

Loren Data Corp. http://www.ld.com (SYN# 0001 19980828\A-0001.SOL)