cl-15 hsi model and simulation
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Lecture 15:
HSI, Modelling and Simulation
K S Rajan
IIIT, Hyderabad
Approaches
Organizations and SEs employ a number ofapproaches to development of specifications.
Typical approaches include:
1. Feature-based approach
2. Reuse-based approach
3. Performance-based approach
4. Model-based Structured Analysis
approach
Model Based Approach Developing a Vehicle
Capabilities will need to enumerated for each3.2.1 Vehicle Frame System
3.2.2 Body System
3.2.3 Propulsion System
3.2.4 Fuel System
3.2.5 Electrical System
3.2.6 Cooling System3.2.7 Steering System
3.2.8 Entertainment System
3.2.9 Storage System, etc.
-- Each System is based on the Performance-basedApproach
Human-System Interface Do we need this?
Esp. if systems/products are technicalEQUIPMENTS in nature
After deployment, often an imbalancebetween PERSONNEL performance andEQUIPMENT performance
WHICH tasks are best performed by theEQUIPMENT, PERSONNEL, orcombinations of the two?
Anthropometry ; haptics; ergonomics
Definitions Anthropometry The scientific measurement and collection of data
about human physical characteristics and the application (engineeringanthropometry) of these data to the design and evaluation of systems,equipment, and facilities.
Anthropometrics Quantitative descriptions and measurements ofthe physical body variations in people. These are useful in humanfactors design
Ergonomics The multi-disciplinary science concerned with the studyof work and how to apply knowledge of human capabilities,performance, and limitations to workplace design via human-systeminterfaces and interactions.
Haptic Refers to all the physical sensors that provide a sense of touchat the skin level and force feedback information from muscles and
joints. Haptics The design of clothing or exoskeletons that not only sense
motions of body parts (e.g., fingers) but also provide tactile and forcefeedback for haptic perception of a virtual world.
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HIS from SE perspective Key StrengthsHUMAN
1. Value-based judgmentsand decisions
2. Priority selections
3. Resource allocationsover time
4. Impromptu tasks5. Creative, nonrepetitive
tasks
6. Sensitivity to painfulconditions
7. Human communications
8. Smell and touch9.Adaptive behavior
MACHINE
1. Processing, storing, and retrieving vastamounts of data.
2. Computing complex algorithms and trends in ashort period of time.
3. Transmitting and receiving large amounts oferror-free data under time constraints.
4.Artificially controlling human performance underprescribed safety conditionsaircraftperformance.
5. Sensing and analyzing microscopic scalevariations in electrical, mechanical, optical,environmental, and chemical conditions.
6. High-speed, noncreative, repetitive taskssuch as mass production.
7. Controlling high-risk operations that pose safetyand health threats to humans and theenvironment such as steel mill, handlinghazardous and toxic materials.
8. Leveraging human physical capabilities.
9. Measuring parameterssuch as time, mass,and material composition.
Human Factors Engineering
1.Anthropometric factors
2. Sensory factors
3. Cognitive factors
4. Psychological factors
5. Physiological factors.
HSI uses
Personnel-Equipment Interactions
Audio; Visual and Vibratory cues helps
in Prompts; Health Status; Reporting
problem, progress
Command and Control Devices
Generalized and Specialized I/O Solutions
Elements of HSI1. Human factors engineering (HFE)
capabilities and analysis
2. Manpower
3. Personnel
4. Training
5. Safety
6. Health hazards
7. Human survivability
Prototypes and Demonstrations
Human System tasking
Models? Helps in What-if scenario building
Deterministic Models Predictable, repetitive in nature
Stochastic Models Based on probabilistic relationships between event
occurrences (random events)
Data based inference or estimate
Analytical Model development is similar to theSystem Development
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Model Validation For confidence that model is valid
Works well in the simulated (or scaled reality)
real world
Model Characteristics
Functional, physical
Model Fidelity
Levels of reality
How to say what is right level? Specifications
Modeling and simulation
possible applications
Application 1: Simulation-based architectureselection
Application 2: Simulation-based architecturalperformance allocations
Application 3: Simulation-based acquisition(SBA)
Application 4: Test environment stimuli
Application 5: Simulation-based failureinvestigations
Application 6: Simulation based training
Application 7: Test bed environments fortechnical decision support
Model and Simulation Challenges
Challenge 1: Failure to Record Assumptions and
Scenarios
Challenge 2: Improper Application of the Model
Challenge 3: Poor Understanding of Model
Deficiencies and Flaws
Challenge 4: Model Portability Challenge 5: Poor Model and Simulation
Documentation
Challenge 6: Failure to Understand Model Fidelity
Challenge 7: Undocumented Features
Project
PDR should contain
System Definition
Sub-System
Specifications (Entity level or Operational
Level or both)
Can use the checklist given in Sec 31.6 or
build your own
Operational Level Specs Entity Level Specs