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Human-In-Control (HIC) Modeling and Integration Framework for BMDS Simulations

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0147-13-C-7405
Agency Tracking Number: B12B-006-0029
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: MDA12-T006
Solicitation Number: 2012.B
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-02-19
Award End Date (Contract End Date): 2013-08-19
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD -
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Evan Clark
 Senior Research Scientist
 (301) 294-4635
Business Contact
 Mar James
Title: Director, Contracts and Proposals
Phone: (301) 294-5221
Research Institution
 University of Michigan
 David E Kieras
3641 Beyster Bldg.
Ann Arbor, MI 48109-
United States

 (734) 763-6739
 Nonprofit College or University

IAI with University of Michigan proposes an innovative HIC software modeling and integration framework built around objectively quantified cognitive models of human operators i) Executive-Process/Interactive Control (EPIC) and ii) GOMS (Goal Operator Method and Selection rules) Language Evaluation and Analysis (GLEAN). The framework provides ability to model existing or futuristic operator workstations, which is used as declarative knowledge to develop high & low-fidelity cognitive models. The framework supports operator modeling of varying proficiency by allowing users to define task-specific timeline distributions, while the decisions are driven by fixed perceptual, cognitive, motor processor parameters and constraints. It also allows the cognitive model to interact with external decision models to determine quantitative value of the outcome of certain motor tasks so that meaning simulation events can be generated for other BMDS simulation elements and components. A proposed HLA framework to interface with perceptual signal and motor actions declared in the HIC model provides an integration layer and a middleware to manage simulation time, and seeds to repeatable stochastic behavior external to the HIC model. Finally, a proposed enterprise service with scenario planning capability to configure a simulation event from a repository of operator and workstation models supports trainings and BMDS Performance Assessment.

* Information listed above is at the time of submission. *

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