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Intelligent Tool for Managing Human Requirements in Human-Automation Systems (ITHUR)

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-22-C-0324
Agency Tracking Number: N221-068-0141
Amount: $239,996.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N221-068
Solicitation Number: 22.1
Solicitation Year: 2022
Award Year: 2022
Award Start Date (Proposal Award Date): 2022-06-06
Award End Date (Contract End Date): 2023-09-05
Small Business Information
3527 Beverly Glen Blvd.
Sherman Oaks, CA 91423-1111
United States
DUNS: 124668711
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Robert Jacobs
 (818) 788-4830
Business Contact
 Elan Freedy
Phone: (703) 200-4104
Research Institution

This proposal is to develop an Intelligent Tool for managing HUman Requirements in human-automation systems (ITHUR). Our approach is based on work we performed for the Army and AFRL in the design of a Petri Net based Team Programming Language for Operator Interaction. We have shown that such a language can effectively describe the human component (HC) elements in the overall flow of task dynamics. Our innovative ITHUR concept uses a Petri Net Language with Markup (PNET-M) as an intelligent mechanism for aiding the generation of requirements for interfaces, information flows and constraints in the development of human-automation systems. Generation of the task flow and HC tasks is made easier by a catalog of generic HC task templates that define the dynamic flow of each task. The database will also contain a human components database, listing human capabilities and limitations relevant to each task, and presenting design elements necessary for effective integration of the human components into the system. The resulting PNET-M model and data are a reference point to aid writing requirements for human components without needing expertise in human factors or cognitive science. The task flows and constraints ensure that system requirements are feasible, empirically based, and verifiable.

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

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