Panel Discussion: Rising Issues in Human Systems
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1 Panel Discussion: Rising Issues in Human Systems NDIA Human Systems Conference February 11, 2015 John Tangney, ONR/341
2 NEW IDEA: Design to Mission Need Mission Effectiveness Estimates Realistic Mission Training Simulations Lightweight, so Flexible Mission Success Metrics performance metrics support Calibrated Using Experts in the Loop Integrated, Joint, Coalition Enable Exploration of Large Design Space Hardware, Software, Human Elements baseline and notional Broadly Available to Industry e.g. Networked PCs Flexible i.e. Modest Fidelity Gain Confidence in Capability Based Assessments Operator CONOPS and TTPs Trade Space Analyses within Mission Distribution statement A. Approved for public release; distribution is unlimited. 2
3 Synthetic Environments for Assessment Distribution statement A. Approved for public release; distribution is unlimited. 3 Acquisition Training Operations Synthetic Environments SCIENCE & TECHNOLOGY Platform KPPs Hardware Sub-systems Human View Software, Automation CONOPS TTPs Bottom Line: SEAs Implement Top-Down Value Estimation
4 Distribution statement A. Approved for public release; distribution is unlimited. 4 The Design Space For many domains of interest, requirements shift too fast for the conventional research, design, build, test cycle of acquisition What is the impact of new capability x on mission, training, team performance, etc? Given new mission profile y, what new capabilities are required for team to meet effectiveness standards? What are improved CONOPS and TTPs? This is what Simulation Based Acquisition hasn t solved but Synthetic Environments for Assessment offer hope SEA allows interoperable models to be reconfigured in infinitely many ways to test hypotheses about effectiveness SEA is not a system that you plug models into (like SAF) SEA facilitates validated collections of models that provide calibrated simulations for testing new ideas and concepts.
5 Proposed Criteria for SEA Simulation in Form, but Fidelity Traded for Flexible Experimental Use Support Multiple Task Scenarios within the Environment, functionally equivalent to Operational Tasks Scenarios linked to Naval Mission Effectiveness Metrics Calibrated Metrics Using Naval Operators Distributed to Broad Science and Technology Community Enable an Engineering Approach to Unified System Design, Training, and Operation. Distribution statement A. Approved for public release; distribution is unlimited. 5
6 Distribution statement A. Approved for public release; distribution is unlimited. 6 Fleet Integrated Testing, Experimentation, and Planning Description: Technologies for High Fidelity, Multi-mission, Integrated Distributed Training and Experimentation. Realistic Synthetic Entities, Environment, and Mission Scenarios High Fidelity Integrated Mission Training Facility, Ford Island HI Models and Analysis of A2AD Tactical Behaviors Naval Need: Ability to Train to System-of-Systems Missions Fully Automated, Realistic Synthetic Forces (LVC) Carrier Air Wing Mission Rehearsal (LVC) Automated Scenario Generation (UAS Training) Realistic Synthetic Environments EW (EDUCAT2E) Missions: FAC/FIAC, ASW, ASuW, MIW, NIFC-CA, EW, A2AD, OTH-Strike FY14 Accomplishments: NIFC-CA entity behaviors to a Navy Common Training System (NGTS) FIST2FAC bi-coastal FST demo (PACFLT and LANTFLT) of synthetic A2AD event LVC Training Event Virtual Air ASW Platform Instrumented Underwater Range Tracking and Acoustic Information Impact: Enhanced Fleet Readiness and Resilience Synthetic Environment for Assessment of CONOPs, TTPs, and potential ROI on weapon system acquisitions
7 Networked Fleet Integrated Synthetic Training/Testing Facility Systems NCTE Operational Node NCTE RDT&E Node Communications Suite JSAF GCCS DREN/SDREN Academia and S&T Community FIST2FAC ONR NRL Live Training Event Virtual Air ASW Platform Defense Research & Engineering Network JTEN Joint train & experiment NW Partner Nations Japan S. Korea Singapore Instrumented Underwater Tracking and Acoustic Information Research & Development Data Repository Distribution statement A. Approved for public release; distribution is unlimited. 7
8 Distribution statement A. Approved for public release; distribution is unlimited. 8 SEA for Acquisition Acquisition The smart buyer problem: How to select design elements for leap-ahead capability improvements without buying everything of value? Platform Personnel Training Interface Automation Sensors Communication Computation Is there some metric applicable to all technology disciplines?
9 Unmanned Aircraft Systems Interface, Selection, and Training Technologies (U-ASISTT) FY14 EC Three Products Interface Designs Training Create a Synthetic Environment with realistic mission scenarios for: Building calibrated Mission System Trainer Evaluating various interface designs Testing Operator Candidates TTA with Common Control System (PMA-281) Design Personnel Selection & Assignment Deliver selection test components for Navy unmanned aviation operators Identify skills unique to UAS operators Understand training trade-offs Implication of different missions & operators (officer vs enlisted) TTA with NAMI for Integration into ASTB Selection Training: Automated entities & Scenarios Realistic: Deliver computer generated forces & scenarios built from raw data Mission Scale: Rapid generation of large numbers of synthetic entities and realistic mission relevant scenarios TTA with Next Generation Threat System (PMA-205) & UCLASS Integrated Design, Select, and Train for Mission Effectiveness with UASs Distribution statement A. Approved for public release; distribution is unlimited. 9
10 DoD Priority Steering Council Training Technology End States 100 Mission Effectiveness (% Current) Seamless Virtual/Constructive training - C2 with tactical players - Quantified human system performance with mission effectiveness metrics - Safe, live virtual constructive training - Individual adaptive team training - Increased Complexity - Increased players 3 Years Timely and effective training reflecting dynamic operational insights/challenges - Personalized, adaptable, point of need training - Integrated regional ally mission preparation - Credible synthetic players: persistent, generative, robust - Continuous, real time, high fidelity training with LVC multinational partnering when and where needed Speed to Train for Full Mission Effectiveness Hours Distribution statement A. Approved for public release; distribution is unlimited. 10
11 Hybrid Force Warfighters and Autonomous Systems Working as Teams Distribution statement A. Approved for public release; distribution is unlimited. 11 Objective: machine intelligence for autonomous systems peer-to-peer human-machine interaction, and high levels of autonomous behavior in highly dynamic and complex battlespaces. SAFFIR Ship-board Autonomous Fire-FIghting Robot Humanoid Shipboard Robotics Firefighting First responder Inspection & maintenance Computational Cognitive Science Cognitive architectures Natural language dialogue Social Cognition Future Impact Minimally supervised, easily taskable autonomous vehicles, robots & systems Cognitively-compatible control interfaces
12 Synthetic Environments for Assessment Distribution statement A. Approved for public release; distribution is unlimited. 12 Acquisition Training Operations Synthetic Environments SCIENCE & TECHNOLOGY Platform KPPs Hardware Sub-systems Human View Software, Automation CONOPS TTPs Bottom Line: SEAs Implement Top-Down Value Estimation
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