multi-dimensional clustering analysis ex: cluster on information location(a/c)...
TRANSCRIPT
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Multi-dimensional Clustering AnalysisEx: Cluster on Information
Location(A/C)
Conduct_DCA_Intercept_&_Escort
Issue_Level_1_Query
Clear_Aircraft_Departing_CV
ID(Track)
Range(Track,USN_Ship)IFF(A/C)
Engagement_solution
Engagement_order
IFF(Track)
Location(Track)
Review_ID_Indicators
Respond_to Air_ThreatConduct_Threat_Assessment
Issue_DMZ_Violation_ReportControl DCA
Conduct_Threat_ Assessment
Conduct_Engagement _with_Birds
Control_ DCA
Review_ID_ Indicators
Location(A/C) 0 0 1 0Location(Track) 1 1 1 1Range(Track,USN_ships) 1 1 0 0Engagement_solution 1 1 0 0Engagement_order 0 1 0 0IFF(A/C) 0 0 1 0IFF(Track) 0 0 0 1ID(Track) 1 0 0 1
Conduct_Engagement_with_Birds
Info
rmat
ion
feat
ures
• Goal: Maximize information within watchstanders; minimize info overlap when unnecessary• Conduct_DCA & Control_DCA use similar info; Review_ID & Conduct_engage-ment do not.
InfoTask
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Phase D: Engineering Team Interactions
Uniquely assign tasks when possible to minimize routine communications between team members
May need to split tasks if individuals are overloaded
Detailed Modeling Tool:
Note: Splitting tasks introduces new communication workload
Information Variables
Decision Variables
Action Variables
Outcome Variables
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Initiate/Confirm Engage Order
Engage_with_Birds
In-boundmissile msg
ROE
Track’s failure torespond to Level II Warning
Track’s failure torespond to Illumination
System Status
Track Verbal Report
Engagement Status
Weapons Away (Y/N?)
Engagement OrderKill Evaluation (Y/N?)
‘Initiate/ConfirmEngagement’Msg
‘Produce EngagementSolution’Msg
‘Weapons Ring’Msg
‘Issue Track Report’Msg
‘Kill Evaluation’Msg
Release Missiles
Track’s visualdisplay profile Track is covered (Y/N?)
System’s movingtwds releasing Weapons (Y/N?)
Firing Solutionstill a go (Y/N?)
In-boundMissile (Y/N?)
Track’s meetingROE (Y/N?)
Track’s approachingits weapons range (Y/N?)
Initiate Engage Orders (Y/N?)
Engagement Solution
WeaponsAway Yes
Kill Yes
Track is covered
System’s movingtwds releasing Weapons
Firing Solutionstill a go Yes
Engage OrdersInitiated
Firing Solutionno longer a go
System’s failed inmovingtwds releasingWeapons
Engage OrdersNOT Initiated
Track is NOT covered
WeaponsAway No
OUTCOME Variables
DECISION Variables
INFORMATION Variables
ACTION Variables
OUTCOME Variables
DECISION VariablesINFORMATION Variables
ACTION Variables
Respond_to_air_threat
Evaluate_threat
Intra- and inter-task analyses suggest opportunities to combine tasks into roles
3
2
Intra- and Inter-Task Analysis
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Example Objective: Balancing Workload in the Team
Instant Workload
0
Threshold
)()(max0;
maxargmax tWtW iDMiDM
ttAEGISiDMMMWSiDM
Objective 1:
min)(
)(
max
max
0
0
minarg
maxarg
tt
iDM
tt
iDM
tW
tW
MMWSiDM
MMWSiDM
Workload AccumulationBalance
DM1 DM2 DM3 DM4 DM5
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1 101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Team Leader
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Air Coordinator-
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Watchdog
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Information Coordinator
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Battle Manager
Notional Workload Analysis
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Outline of Presentation
Value of modeling C2 Organizations– Prescriptive vs. descriptive modeling– Model-Based Experimentation
TIDE modeling approach
C2 Design Example: AWACS
How to use TIDE products
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AWACS Design Challenge
TIDE Design Approach Mission analysis
What needs to be done What information is available
Task analysis How is it done What information is used
Organizational analysis How is information shared Who does what
How do you design an optimal command & control teams for complex, variable AWACS missions to take advantage of advanced information fusion technology?
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Example: AWACS Crew Optimization
Human-Centered Re-Engineering of AWACS Command and Control Teams (REAC2T)– Phase III SBIR Project funded by AWACS System Program
Office ESC, Hanscom AFB
Demonstrate proven, scientific approach to C2 team design in AWACS domain– Team Integrated Design Environment (TIDE)
Present ACC/Wing with proof-of-concept for crew optimization– Evaluate impact of information fusion on mission performance
and operator functions– Introduce optimized team structures to enhance mission
performance
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AWACS Example: Inputs to Mission Model
Mission decomposition and evaluation– Work with operational community to define current approach to
mission completion• CONOPS, tactics, roles, and responsibilities
Red Flag Spin-Up Training– Tinker AFB
Live Fly Red Flag Exercises– Five flights, Nellis AFB
Cognitive Task Analysis– Wing Tactics Office, Tinker AFB– SD instructors Fighter Weapons School, Nellis AFB
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TIDE Prototype Software
Mission & task graphs are converted into data tables to serve as input for optimization algorithms
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Preliminary Results: Baseline 14 Operator Task Distribution
Colors represent unique operational tasks
Max Workload = 1400
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Impact of Technology (MSI) Insertion:Non-Optimized 14 Operator Configuration
Colors represent unique operational tasks
Max Workload = 950
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Impact of Technology (MSI) Insertion:Optimized 14 Operator Configuration
Colors represent unique operational tasks
Max Workload = 750
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Impact of Technology (MSI) Insertion:Optimized 12 Operator Configuration
Colors represent unique operational tasks
Max Workload = 800
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Internal Communication: Outgoing Messages
MSS W1S W2 W3 W4 W5 W6 S1S S2 S3 S4 S5 0
20
40
60
80
100
120
140
DMs
Out
goin
g M
essa
ges
MCC SD STK OCA Chk_In HVAA STK_Ast OCA_Ast ASO ECO AAST AST_1 AST_2 AST_3 0
20
40
60
80
100
120
DMs
Out
goin
g M
essa
ges
Baseline
MCC SD STK OCA Chk_In HVAA STK_Ast OCA_Ast ASO ECO AAST AST_1 AST_2 AST_3 0
50
100
150
200
250
300
350
400
450
500
DMs
Out
goin
g M
essa
ges
MSI Non-Optimized 14
MSI Optimized 14 MSI Optimized 12
MCC SD STK OCA Chk_In HVAA STK_Ast OCA_Ast ASO ECO AAST AST_1 AST_2 AST_3 0
20
40
60
80
100
120
140
160
DMs
Out
goin
g M
essa
ges1. Technology1. Technology
InsertionInsertion
500 160
3. Manning 3. Manning OptimizationOptimization
2. Optim
al
2. Optim
al
TeamTeam
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Summary: Model-based Re-Engineering of AWACS Command & Control Teams (REAC2T)
T91 -Recordkeep - Significant
events
T76 - Provide C2for workaroundsto appropriate
players
T75 - Coordinatewith senior C2
elements
T74 - Define/recommend
missionmodifications
T71 - Define whatis needed to
continue/complete mission
T62 - Send anarrow
T60 - Broadcastnew information
T57 - Requestsupport fromsupervisorT47 - Distribute
mission status
T46 - Providevector information(i.e. refueling, flight
join, airspace)
T43 - Respond torequests for
information (RFI)
T42 - Makepicture calls
T26 - Identify airthreats
T24 - Provide allavailable amplifyinginformation (tracks)
T20 - Utilizeorganic radar
data
T19 - Fuse datafrom multiple
sources to locateobjects (detect)
T7 - Reconfigureradar for
changing missionobjectives
T102 - Receiveinformation from
pilots
T45 - Monitorairborne assets
missionreadiness
T48 - Assessfighter fuel level
T103 - Pullinformation from
pilots
ANDOR
AND
OR
AND
AND
OR
AND
A17 - Fuse data frommultiple sources toensure tracks are
correct
A12 - Detectnew track
D28 - Determinewhere you shouldanticipate a threat
D16 - Decidewhat is a valid
air object (track)
I17 -Intelligence
dataI4 - ATO
I64 - RadarData
I65 - IFFData
I66 - ESMData
I67 - OtherSensor
A2 - InitiateTrack
SymbologySwitch Action
AND
O39 - Tracksymbology
I56 - Trackposition
Re-engineering based on AWACS mission task models Scientific C2 team design approach to AWACS domain: TIDE
-Team Integrated Design Environment Org. design for new technology insertion and optimized manning
0
2
4
6
8
10
12
Baseline New Tech Only
New Tech + Optimized 1
New Tech + Optimized 2
Crew Configuration
Ave
rag
e T
ask
Del
ay
(se
co
nd
s)
Task Model
Faster Teams
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Outline of Presentation
Value of modeling C2 Organizations– Prescriptive vs. descriptive modeling– Model-Based Experimentation
TIDE modeling approach
C2 Design Example
How to use TIDE products
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TIDE Model Products
Mapping of Tasks to Team Members
Task Cluster Output
DM1 DM2 DM3 DM4 DM5
Configure_Watchstation 1 1 1 1 1
Plan/Configure_for_Air_Defense_Mission 1 1 1 1 1
Review_Systems_Status 1 1 1 1 1
Issue_Level_1_Query 0 0 1 0 0
Respond_to_Air_Threat 1 0 1 1 0
Conduct_Engagement_with_Birds 1 0 0 1 0
Review_ID_Indicators 3 1 2 2 4
Issue_Update_Track_Verbal_Report 0 0 0 1 0
Conduct_DCA_Intercept_&_Escort 1 0 0 1 1
Issue_DMZ_Violation_Report 2 1 1 1 1
Clear_Aircraft_Departing_CV 0 0 0 0 1
Team Descriptions
4.0
4.1
4.2.1 4.2.2
4.3
CAS (8)
CV (1)
TARP (1)
Rifle Co (3)
Stinger (1)
4.2
Cobra (2)
Rifle Co (3)
Cobra (2)
Stinger (1)
Eng . (1)
MED (1)
MCM (1)
CG(1), DDG(2)
Eng . (1)
MED (1)
MCM (1)
VF(8), FFG(2)
Performance Predictions
1 101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Team Leader
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
AIC-REDCROWN
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Watchdog
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Information Coordinator
101 201 301 401 501 601 701 801 901 1001 1101 1201 1301 1401 1501 1601
Battle Manager
Detailed Specification of Team Roles:
When Tasks are performed
How Decision are made
What Resources are used
What Information is used
What Communications are required
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Multiple Applications of TIDE Model
EVENTS
TEAM LEADER'S WORKSTATION
MULTI-CHANNEL COMMUNICATION LINK
"WORLD" EVENTS
Synthetic Task Environments
TIDE Organizational Design Process
Phase A:Mission
RepresentationPhase B:
Task-ResourceMapping
Phase E:Organizational
Structuring
Phase C:Clustering Tasks
into Roles
Event-Task Mapping
Optimized TaskScheduling
Operator Role Definition/Info Requirements
Team-LevelAssignments
Team Design(Structures
+ Processes)
Design Objectives,
Criteria,Constraints
Design Objectives,
Criteria,Constraints
Phase D:Decompositionof Role Overlap
Organizational Design
Intelligent Agents
Training Programs
Tide Input Model
IDAO Decomposition
A31 - Target thethreat
D4 - Decidehow to use
available airand groundresources
O14 - Commit pairfighters
I49 - Fighterweapons
status
I19 - Missionrequirementsand priorities
I41 - Fighterfuel status
I51 - Threat/target
location
ANDI17 -
Intelligencedata
A22 - Monitor theair picture
IDAO Decomposition
Event-Task Mapping
Time on Target (ToT)
T36 - Maintainaccurate track /
symbologycorrelation
T19 - Fuse datafrom multiple
sources to locateobjects (detect)
T22 - Interpret /Filter information
T20 - Utilizeorganic radar data
T95 - Monitorairspace
T42 - Make picturecalls
T86 - Providetarget location
T43 - Respond torequests for
information (RFI)
T24 - Provide allavailable amplifyinginformation (tracks)
OR
T102 - Receiveinformation from
pilots
T56 - Receivemission effectiveness
/ BDA
T47 - Distributemission status
AND
Event-Task Mapping
Task Decomposition
ID/track air objects
Respond to threats
Record keeping
ASK FOR INPUTto ATSO (self-preservation)
Identify Threat type
Identify ThreatLocations
Direct weaponsto target/threat
Analyze system resourcesto locate jammers whileMonitoring system for jamming
Execute electronic countermeasures while Monitoringsystem for jamming
Broadcast jammer locationwhile Monitoring systemfor jamming
TCTC Mission
Define Threats
Decide to engage or not
Operate MCS systems
Surveillance/detectair objects
Create/maintain recognizable& integrated air picturePass/receive information
Manage ATO execution
ATSO (self preservation)Airborne (C2 of airborne assets)
Respond to Threats Respond to pop-up targets
Monitor system for jamming
ID/track air objects
Respond to threats
Record keeping
ASK FOR INPUTto ATSO (self-preservation)
Identify Threat type
Identify ThreatLocations
Direct weaponsto target/threat
Analyze system resourcesto locate jammers whileMonitoring system for jamming
Execute electronic countermeasures while Monitoringsystem for jamming
Broadcast jammer locationwhile Monitoring systemfor jamming
TCTC Mission
Define Threats
Decide to engage or not
Operate MCS systems
Surveillance/detectair objects
Create/maintain recognizable& integrated air picturePass/receive information
Manage ATO execution
ATSO (self preservation)Airborne (C2 of airborne assets)
Respond to Threats Respond to pop-up targets
Monitor system for jamming
Mission Decomposition
ID/track air objects
Respond to threats
Record keeping
ASK FOR INPUTto ATSO (self-preservation)
Identify Threat type
Identify ThreatLocations
Direct weaponsto target/threat
Analyze system resourcesto locate jammers whileMonitoring system for jamming
Execute electronic countermeasures while Monitoringsystem for jamming
Broadcast jammer locationwhile Monitoring systemfor jamming
TCTC Mission
Define Threats
Decide to engage or not
Operate MCS systems
Surveillance/detectair objects
Create/maintain recognizable& integrated air picturePass/receive information
Manage ATO execution
ATSO (self preservation)Airborne (C2 of airborne assets)
Respond to Threats Respond to pop-up targets
Monitor system for jamming
ID/track air objects
Respond to threats
Record keeping
ASK FOR INPUTto ATSO (self-preservation)
Identify Threat type
Identify ThreatLocations
Direct weaponsto target/threat
Analyze system resourcesto locate jammers whileMonitoring system for jamming
Execute electronic countermeasures while Monitoringsystem for jamming
Broadcast jammer locationwhile Monitoring systemfor jamming
TCTC Mission
Define Threats
Decide to engage or not
Operate MCS systems
Surveillance/detectair objects
Create/maintain recognizable& integrated air picturePass/receive information
Manage ATO execution
ATSO (self preservation)Airborne (C2 of airborne assets)
Respond to Threats Respond to pop-up targets
Monitor system for jamming
0 200 400 600 800 1000
Line1
T18T68T28 T20 T66 T70 T67 T69 T71 T28 T83 T83 T83
Line2
T18T18T28 T20 T37 T67 T69 T71 T95 T44 T71 T83
Line3
T18T20 T20 T67 T69 T71 T83
Line4
T18T18T18T18T20 T66 T69 T71 T44 T98 T70
Line5
T28T18T20 T20 T90 T67
Line6
T28 T20 T20 T92 T28 T83 T1
Line7
T28T18T20 T92 T28 T9 T83 T44 T83 T87
Line8
T18T18T18T20 T20 T65 T64 T69
Line9
T4T18 T66 T77 T70 T81 T69
Line10
T28 T20 T97 T83 T83 T83
Line11
T18T18 T16 T9 T83
Line12
T18T18 T16 T27
Line13
T18T28 T20 T2 T83
Line14
T20 T20 T37
Line15
T18T18 T20
Line16
T18T18 T20
Line17
T18T18 T20
Line18
T28 T20
Line19
T89
Line20
T20 T20
Line21
T16
Line22
T20 T20
Line23
T20
Time
C2 Process Re-engineering
Interface Design
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Model-driven Measurement ProcessModel-driven Measurement Process
Learning Objectivesin JTF Environment
Competencies:Knowledge, Skills,and Abilities
Tasks
Scenario
Stimulated or Trained by...
Improve by X%
Put together into vignettes...
IndividualTeam
Team-of-Teams
Theories ofPerformance LinkSkills to Behaviors toTasks
Stories andevents
MOPs &Measurement
Tools
MeasurementChallenges
Performance Measures by TaskHow well did learners perform?
KSA AssessmentWhat KSAs do learners have/lack?Diagnose individuals’ needs for additional training
Success in Meeting Training ObjectivesHow well are training objectives met?Success at JTF; Certification
Subject Matter Experts
TIDE Model
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TIDE Integrated Toolset
Task Network SimulationOrganizational Structure
Task Hierarchy
Assess platformneeded
Receiveplatform
status
Assess need torequest
Task
Platform, DM Platform
Task, Platform
Task, Platform
Task, Platform, DM
Decision-Maker Model
DESIGN
SIMULATION-BASEDEVALUATION
ANALYSIS
Team Optimal Design
(TOD)(TOD)T
DMR
User/SME input and review
MissionAnalysis
S u b 3
S u b 1 S u b 2
L ead
Sub 2 Sub 3
Sub 1
Leader
Computational Organization Model
50 10060 70 80 90
85.1
79.7
76.2Mis
sio
n O
utc
om
e
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Some Current Military Applications of the TIDE Modeling Methods and Tools
Joint Task Force Adaptive Architectures for Command and Control (A2C2)Next Generation Navy Surface Ships (SC-21/DD-21)Human-Centered Re-Engineering of AWACS Command and Control Teams (REAC2T)Uninhabited Combat Air Vehicle (UCAV) Control CenterKwajalein Radar/Missile Control Center (ATIDS)Air Operations for Time Critical Targets (JFACC)Time Critical Targeting Cell in Air operations (CAOC)Effects-Based Operations in Operations Center (EBO)Army Future Combat Systems (FCS)Global Wargame JTF Org. Design and Assessment….
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Summary: Why Model C2?
TIDE is a method to optimize decision-making organizations to capitalize on advanced technology
Model-based organizational structures are “congruent” with mission needs
Modeling guides experimentation and performance assessment
Analysis and design tool for system designers– Cost and risk reduction
– New technology payoffs
Mission/organization model serves multiple purposes – Organizational design: Provide alternative, optimized organizations
– Team training: Highlight areas for team training
– Synthetic tasks: Develop environments to train and evaluate teams
– Interface design: Functional definition of GUI