Human Systems Integration (HSI): DoD Policy and Guidance and FY23 updates on HSI Capabilities-Based Assessment

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Human Systems Integration (HSI): DoD Policy and Guidance and FY23 updates on HSI Capabilities-Based Assessment

Description: 

Once stand-alone issuances, DoD HSI Policy and Guidance released in 2Q2022 represent an expansion, in fact doubling, of required HSI-related activities.  The STRATCOM for this DoDD 5000.01 requirement is important because awareness, planning, and resourcing need to penetrate all echelons of capability development, fielding, and sustainment. The department is quite interested in discussing the thoughts of NDIA partners and broader community for the DoD HSI strategy that has been implemented.  Our hope for this webcast is to integrate the industry viewpoint, needs, and activities, which would be valuable to incorporate into the DoD HSI Strategic Communications outreach plan.

Human Systems Integration (HSI) discipline is “the System Engineering process and program management effort that provides integrated and comprehensive analysis, design, and assessment of requirements, concepts, and resources for human factors engineering, manpower, personnel, training, safety and occupational health, force protection and survivability, and habitability” (DoDI 5000.95). These HSI domains are interrelated and interdependent and must be among the primary drivers of effective, efficient, affordable, and safe system designs. HSI integrates and facilitates trade-offs among these domains and other systems engineering and design domains but does not replace individual domain activities, responsibilities, or reporting channels (source: HSI Guidebook). The goal of HSI is to ensure that human performance is optimized to increase total system performance (TSP) and minimize total system ownership costs (TOC) (Per DODD 5000.01). Incorporating HSI early in system design promotes more successful and effective transition of capability to the warfighter.  All acquisition competencies should have working knowledge about the HSI discipline.

Speakers:

Mr R Chris DeLuca (OUSD R&E ED/SE&A) Role: OUSD(R&E)/Executive Director (ED) /SE&A(Systems Engineering and Architectures)/ Director of Specialty Engineering

Mr. DeLuca has over 35 years of experience in DOD as a U.S. Army Colonel (R) and DoD GS-15/NH-IV Civilian, Level III qualified in Program Management, Systems Engineering and Test and Evaluation. As a U.S. Army commissioned officer, he was in combat arms and acquisition, holding multiple command, leadership and staff positions including unit command, Army Program Acquisition Management Charters for Major (MDAP) and Non-Major (including rapid equipping and provisioning) Defense Acquisition Programs, and served on the Army Staff. As a DOD Civilian, Mr. DeLuca served as a Deputy Program Manager for a Major Automated Information System (MAIS)/Defense Business System (DBS) and directed systems engineering and developmental test and evaluation analysis teams at OSD for Space, Land Warfare and C4ISR MDAPs, MAIS and DBS programs. Mr. DeLuca recently was the USD(R&E) Member of the Secretary of Defense Electromagnetic Spectrum Operations Cross Functional Team before his current assignment as Director, Specialty Engineering.

Dr. Kent Halverson,Principal Scientist and Senior Director of the Training, Learning, and Readiness Division, Aptima, Inc.

Dr. Kent Halverson, Principal Scientist and Senior Director of the Training, Learning, and Readiness Division, Aptima, Inc. has extensive research experience in military human-centered R&D, to include areas such as competency modeling, multi-modal performance measurement, organizational analysis, training design and evaluation, adaptive learning, and quantitative data analysis. He served as the Principal Investigator for the evaluation of human performance in electronic vertical take-off and landing (eVTOL) human-machine teams (HMTs); development of a continuous, multisource enterprise performance appraisal prototype; development and evaluation of virtual reality (VR) training courses; the evaluation of Air Force pilot training curricula effectiveness; development of multi-domain dynamic targeting workflow models; design and execution of quasi-experiment analyzing soldier social interactions; and, the development of adaptive training systems for intelligence analysts.  

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