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