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Human Effectiveness Laboratory for Unmanned Systems

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Page 1: Human Effectiveness Laboratory for Unmanned Systems · the Simulator Database Facility (SDBF) at Kirtland Air ... • Quiz – Incorrect ... MetaVR BSI Mace

Human Effectiveness Laboratory for Unmanned Systems

Page 2: Human Effectiveness Laboratory for Unmanned Systems · the Simulator Database Facility (SDBF) at Kirtland Air ... • Quiz – Incorrect ... MetaVR BSI Mace

SimSystem is a unique, state of the art simulation system that combines one meter or better satellite imagery with 3D real-time PC-based virtual simulations that enables researchers to study human performance with both individual and teams. This simulation system is an ideal platform for experimental research in a variety of domains, but is ideally suited for Uninhabited Aerial Systems.

Experimenter Console

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• Ideal for a variety of research domains – Electronic warfare – UAS operations – Air combat operations – Ground operations – Intelligence, Surveillance, & Reconnaissance(ISR) tasks – Mission rehearsal

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• 4 participant consoles • 4 experimenter consoles • Teams of 1 to 4 participants (example)

– Pilot – Sensor Operator – Data Exploiter – Electronic Warfare

• Capability for High Level distributed interactive simulation (DIS/HLA)

• Ability to add multiple UASs • Software includes training modules and tests • Master Control software

– User friendly – Remotely launches and controls software – Collects and moves data – Logs user actions

• Experimenter access to participant screens • Experimenter can take control of participant applications • Capability to insert team situation awareness roadblocks into

scenario (e.g. audio, video, ad-hoc targets, etc.) – Ability to disable select communication channels or insert

noise into channels (simulate hardware malfunction) • Extensive measurement capabilities

– Knowledge and process (coordination, communication, team situation awareness)

• Video recording and playback functionality

• Reconnaissance Task • Over 1,000 natural imagery target library • 700 3-D models typical of U.S. & Middle Eastern

characteristics – Military and Civilian People – Commercial as well as Military Platforms – Roadside Signs and Construction Equipment – Animals and Farming Equipment – Typical Housing for U.S. & Middle East – Land, Sea, and Air Transport Vehicles

• Ability to create scripts for all objects • 3D high resolution towns/villages • Custom 3D animations • Databases and entities fully IR compliant • Voice & Chat options for communication

• Current Applications – 3 person RPA team

• Reconnaissance task – Sensor Operator Task

• IED Task – Connect SimSystem to ASU Air Traffic Control Simulation

• Insert UASs into the National Airspace

Testbed Overview

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SimSystem’s most recent delivery was a 3 person UAS scenario to Dr. Nancy Cooke

ASU & CERI CERTT Laboratory

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Pilot

Data Exploiter

Sensor Operator

Shared view of the UAS in the world

An instance of 3 person UAS reconnaissance task represented in a single ganged unit. Consoles are individual towers and can be configured in any way (Co-Located or Distributed)

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Pilot Console

• Controls heading, airspeed, altitude of UAS

• Communicates current and projected UAS status to team

• Control panel readily modified

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Sensor Operator Console • Controls sensor on the

UAS via UI and/or Joystick – Direction of sensor – Zoom – Sensor modes

• EO/IR/NV – Attach laser to target – Track targets – Take photos and send to

Data Exploiter • Control panel readily

modified

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Data Exploiter Console

• Searches for targets • Plans UAS route • Relays UAS restrictions to

team (altitude, airspeed, etc.)

• Analyzes photos taken by Sensor Operator

• Sends imagery to customer

• Control panel readily modified

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Electronic Warfare Ability to simulate an entire Integrated Air Defense System (IADS)

• IADS Radar Site Types – Early Warning (EW) Radar – Sector Operations Centers (SOCs) – Acquisition (ACQ) Radar – Target-tracking Radar (TTR) – Height-finding (HF) Radar

• Auto Sites – Autonomous non-IADS Sites – Can track and acquire a target

themselves • Other Sites

– Radio Station – Abstract objects (Bull’s-eyes) – Non-IADS but may radiate or be

targeted by aircraft

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Electronic Warfare Displays • Self-Protection Displays:

– RADAR Warning Receiver (AN/ALR-69) – Infrared Warning Receiver (AN/AAR-47) – Chaff and Flare Dispenser (AN/ALE-40) – Towed Decoy (AN/ALE-50)

• Kinetic Attack Displays: – Armament Control panel – AGM-88 Control panel

• Electronic Attack Displays: – Communications Jammer (USQ-113) – Self-Protection Jammer (AN/ALQ-

172v3) – Manual On-board Jammer (AN/ALQ-

161) • Electronic Warfare Support Displays:

– Panoramic Receiver Set (AN/ALR-20) – Direction Finding Display – Reconnaissance Log

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System Components • Console

– Ergonomically designed fully enclosed 19” rack cabinet

• Removable side doors • Rear louvered doors • Powder coated paint • Custom Corian writing surface • Rack mounted power strip

• Main Displays – Touchscreen Monitors (2)

• 22”widescreen projected capacitive display • 16:9 aspect ratio • Zero bezel all glass front surface • HID compliant • 1920 x 1080 resolution

• Terrain – 12 TB North America 3D Terrain

• 1 meter-per-pixel (mpp) natural color imagery from the Simulator Database Facility (SDBF) at Kirtland Air Force Base, with high-resolution imagery ranging from 0.24 to 0.50 mpp for several urban areas and US military installations

– 1.5 TB Asia 3D Terrain: • 15 meters-per-pixel (mpp) LandSat imagery of India,

Iran, Japan, Pakistan, Turkey, and the UAE, and portions of Uzbekistan, Turkmenistan, and Tajikistan, 2.5 mpp SPOT satellite imagery of Afghanistan, 1 mpp black and white imagery color fused with 15 mpp color LandSat imagery of Iraq (approximately 70-geocell area) ; 0.60 mpp natural color insets of Baghdad, Basra, Kabul province, Kandahar, Kirkuk, Tehran, Tokyo, and Osaka

• Secondary Displays/Computers – Touchscreen Computers (2):

• 8.4-inch (SVGA 800 × 600) TFT computer • USB 2.0 ports (4) • Resistive film (Analog) • LAN ports (2) • Solid State Drive (SSD) • Intel ULV Celeron M 1.0 GHz

• Computer (1) – Intel Core i7-2600 CPU @ 3.40 GHz – 16.0 GB RAM – Windows 7 64 bit OS – 2TB Western Digital Hard Drive (min.) – NVidia GeForce GTX 580 w/ 3.0 GB

• Accessories – Flexsteel chair mounted on slider – Keyboard & mouse – Uninterruptable power supply – Hour meter – On/off switch – David Clark headsets

• Communication – VoIP Intercom System – Text Chat

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Data Collection Capabilities

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Data Collection Capabilities Training

• Custom training framework designed to train participants on individual task and computer interface

• Components • Individually oriented

– Easily modified – Includes training assessment

• Quiz – Incorrect answers automatically progress to review slide

• Criterion for successful completion

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Data Collection Capabilities Performance

• Components – Data Logging embedded in MetaVR & BSI – Post Processing/Scoring

• Stand alone application • Flexible scoring

– Generic scoring formula • Weights can be changed for varying research objectives

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Data Collection Capabilities Communications

• Components – Communication

• Audio communications – All communications recorded and time stamped

» Communication flow data is recorded (who is talking) • Binary @ 10Hz

• For each node in the system » Time communication initiated as well as duration

• Sender/receiver recorded • Text/Chat

– All text messages are recorded and time stamped » Time sent » Time received/read » Sender/Receiver recorded

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Software Environment

• Battlespace Simulations, Inc (BSI) • Modern Air Combat Environment (MACE)

• MetaVR • Virtual Reality Scene Generator (VRSG)

• Sandia Research Corporation • Custom User Interfaces • Scenario Development • Measures/Metrics

Integrated Software Environment

SRC Interface & Scenarios

BSI Mace MetaVR

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Shared View of UAS in the world

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Custom Sensor Operator User Interface

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Custom Pilot User Interface

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Custom Data Exploiter User Interface

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3D High Resolution Population Centers

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Examples of Measures & Metrics utilized by previous researchers and

implemented by Sandia Research Corporation

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Metrics and Measures Knowledge

Taskwork • Individual and team

responses to structured questionnaires related to taskwork

• Components – Team knowledge of taskwork

• Stand alone taskwork rating application

• Individual and team relatedness ratings on task relevant concepts

– Knowledge Network Organizational Tool

• Pathfinder – Networks reduce and

represent ratings data in a graph structure

Cooke, N., & Myers, C. (2009). Cognitive coordination on the network centric battlefield.

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Metrics and Measures Knowledge

Teamwork • Individual and team

responses to structured questionnaires related to teamwork

• Components – Teamwork measures

• Stand along teamwork application

• Participants rate essential elements required for mission success

– Ex. Identify critical communications necessary

Cooke, N. J., Gorman, J. C., Pedersen, H. K., Winner, J. L., Duran, J., Taylor, A., Amazeen, P. G., & Andrews, D. (2007). Acquisition and retention of team coordination in command-and-control. Technical Report for AFOSR Grant FA9550-04-1-0234 and AFRL Award No. FA8650-04-6442

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Metrics and Measures Workload

• Components – NASA TLX workload questionnaire – User’s subjective assessment on mental and physical

workload

• Used to assess individual workload

Hart, S.G., Staveland, L.E., 1988. Development of NASA-TLX: results of empirical and theoretical research. In: Hancock, P.A., Meshkati, P. (Eds.), Human Mental Workload. Elsevier, Amsterdam, pp. 139–183.

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Metrics and Measures Process

Coordination

• Components – Custom created stand

alone coordination logging software

• Recording and time stamping of team communication events

– Can be recorded live or post processed

– Subjective estimates of coordination

• Isolated measures of individual and team coordination

Cooke, N., & Myers, C. (2009). Cognitive coordination on the network centric battlefield.

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Metrics and Measures Process

Situation Awareness

• Online subjective measure of situational awareness

• Components – Situation Awareness Tools

• Queries to individuals and team on current and future events

• Roadblocks – Communications cut – Take control of participant station – Ad hoc targets

Cooke, N. J., Gorman, J. C., & Rowe, L. J. (in press). An ecological perspective on team cognition. In E. Salas, J.Goodwin, & C.S. Burke (Eds.), Team effectiveness in complex organizations:Cross-disciplinary perspectives and approaches (SIOP Frontiers Series). Mahwah, NJ: Erlbaum.

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Metrics and Measures Process

Communication • Embedded and isolated measures of individual and team

process • Components

– Communication • Audio and Chat communications

– Communications flow data recorded by SimSystem is processed using Dynamics » Dynamical Analysis Toolkit

• Real time communication flow analysis

– Developed by Sandia Research Corporation in conjunction with Dr. Nia Amazeen, Dr. Jamie Gorman, & Dr. Nancy Cooke

Cooke, N. J., Amazeen, P., Andrews, D., Connor, O., Duran, J., Gorman, J. C., Pedersen, H., Rowe, L., Taylor, A., & Winner, J. (2006, May). Team operation of uavs: some recent certt findings on retention and team composition. Poster session presented at the Annual Human Factors of UAVs Workshop, Mesa, AZ.

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Metrics and Measures Performance

• Isolated and composite measures of individual and team performance

• Components • RPA status (altitude, airspeed, etc.) • Waypoints/Targets visited • Photos taken

Cooke, N. J., Gorman, J. C., Pedersen, H. K., Winner, J. L., Duran, J., Taylor, A., Amazeen, P. G., & Andrews, D. (2007). Acquisition and retention of team coordination in command-and-control. Technical Report for AFOSR Grant FA9550-04-1-0234 and AFRL Award No. FA8650-04-6442

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1 2 3 4 5 6 7 8 9 10

Mission

Team

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Tm 1Tm 2Tm 3Tm 4Tm 5Tm 6Tm 7Tm 8Tm 9 Tm 10Tm 11

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Metrics and Measures Eye Tracking

• Components – High-speed eye tracking

comes with portability through its USB 2.0 port

– Quick Link API to allow researchers and developers access to valuable metrics such as gaze position, dwell times, blink rates, pupil size, and much more

Video

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Metrics and Measures Debriefing

• Used to collect demographics as well as participant experience during the experiment

• Components • Debriefing Questions

– Demographics • Stand alone application that collects and records participant

demographic information – Questionnaire designed to elicit participant experience

(i.e.; if they liked the study, feelings about other teammates, etc.)

– Surveys • Personality Survey

– Individual personality measurement tool

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Steven M. Shope, PhD 5810 S. Sossaman Rd. Ste. 108 Mesa, AZ 85212-6014 Sales: (480) 988-1000 Fax: (480) 988-3162 [email protected]

To learn more about how SimSystem can solve your research needs contact: