Human Machine Systems Assignment
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Questions and Answers

Which inspector exhibits greater sensitivity in detecting flaws in the weld?

  • Inspector Clouseau
  • Inspector Morse (correct)
  • Neither inspector has sensitivity to flaws
  • Both inspectors exhibit the same sensitivity
  • For which inspector is the criterion b < 1?

  • Neither inspector has b < 1
  • Both inspectors have b < 1
  • Inspector Clouseau (correct)
  • Inspector Morse
  • What would be the d' value for Inspector Clouseau with a miss rate of 0.20 and a correct rejection rate of 0.80?

  • 1.5
  • 1.0 (correct)
  • 2.0
  • 0.5
  • In the second session, what penalty was applied for a false alarm?

    <p>$1 (C)</p> Signup and view all the answers

    Which session shows Inspector Clouseau with the highest hit rate?

    <p>Session One (C)</p> Signup and view all the answers

    What is the false alarm rate for Inspector Morse during Session Two?

    <p>0.15 (C)</p> Signup and view all the answers

    Which of the following factors affects the performance of inspectors in different sessions?

    <p>The payment structure for correct detections (B)</p> Signup and view all the answers

    In an ROC curve, what does a point closer to the top left corner indicate?

    <p>Higher sensitivity and specificity (C)</p> Signup and view all the answers

    Flashcards

    Sensitivity

    The ability to detect a flaw in a weld.

    Inspector Clouseau

    An inspector with a liberal criterion for detecting flaws.

    Inspector Morse

    An inspector with a neutral criterion for detecting flaws.

    Miss Rate

    The proportion of actual flaws that were not detected.

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    Correct Rejection Rate

    The proportion of non-flaws correctly identified.

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    ROC Curve

    A graph showing the trade-off between hit rates and false alarm rates.

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    d' Value (d-prime)

    A measure of sensitivity, calculated from hit and false alarm rates.

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    Payoff Conditions

    The reward structure affecting inspector performance during tests.

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    Study Notes

    Human Machine Systems Assignment

    • Inspectors Clouseau and Morse: Monitor weld quality at a factory. Clouseau's neural activity distributions are shown for noise and signal plus noise (top figure), and Morse's activity is shown in the lower figure.

    Inspector Sensitivity

    • Sensitivity: Clouseau or Morse? One has better ability to detect flaws. The question asks which inspector is better at identifying flaws in welds.

    Criteria and d' Value

    • Criteria: Morse (neutral) and Clouseau (liberal). A vertical line represents the criterion on each graph.
    • ß < 1: Determine which inspector has a ß value less than 1.
    • d' Value (Clouseau): Calculate Clouseau's d' value given a miss rate of .20 and a correct rejection rate of .80, using the provided table or formulas.

    Payoff Conditions

    • Session One: $1 for detecting a faulty weld, no penalty for false alarms.
    • Session Two: $1 for correct detection, $1 penalty for false alarms.
    • Session Three: No payment for correct detections, $1 penalty for false alarms.

    ROC Curves

    • ROC Curve Construction: Create ROC curves for Clouseau and Morse using the provided data for hit rate and false alarm rates across the three sessions. Plot the curves on the same axes, labeling the axes.
    • Observer Differences: Did both observers' performance change equally under the different payoff conditions or were there significant differences?

    Inspector Smith's Sensitivity

    • Shallow Slope: Inspector Smith's ROC curve on normal probability paper has a shallow slope (less than 45 degrees).
    • Quantifying Sensitivity: Explain how to quantify Inspector Smith's sensitivity given this slope. Explain the reasoning behind your approach

    Optimal Beta Value (Morse)

    • Payoff: $10 for a hit, $1 for a false alarm.
    • Optimal Beta: Calculate the optimal beta value for Inspector Morse using appropriate values. Two P(N)/P(S) scenarios are provided to guide you.

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    Description

    This quiz focuses on human-machine interactions in inspecting weld quality. It evaluates inspectors' sensitivity, criteria, d' values, and payoff conditions in detecting flaws. Analyze the neural activity distributions to determine which inspector performs better.

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