Human Machine Systems Assignment

Inspector Clouseau has (\beta < 1)

d' = 1.28

<p>The x-axis of the ROC curve represents the false alarm rate, and the y-axis represents the hit rate. The ROC curve for each observer is a plot of the hit rate as a function of the false alarm rate, for different criteria.</p> Signup and view all the answers

<p>Inspector Clouseau was more affected by the payoffs. (C)</p> Signup and view all the answers

<p>A shallow slope on the standardized ROC curve suggests that the inspector is less sensitive to the signal. It is better to quantify this inspector's sensitivity by using the area under the ROC curve (AUC), instead of d', because the AUC is more robust to changes in the criterion.</p> Signup and view all the answers

<p>The optimal (\beta ) is 10, as the payoff for a hit is 10 times higher than the cost of a false alarm. (b) Assume that P(N) = 0.8 (1 pt) HINT: Given only P(N) it is possible to determine P(S) and P(N)/P(S)</p> Signup and view all the answers

The ability to detect a true signal amid noise.

An inspector with a liberal criterion for detecting weld flaws.

An inspector with a neutral criterion for detecting weld flaws.

The standard that determines whether a signal is detected.

A measure of sensitivity in signal detection theory.

The proportion of false negatives when a signal is present.

The proportion of accurate identifications of noise.

A graphical representation of a detector's performance.

The frequency of correctly detecting a signal when it is present.

The frequency of incorrectly detecting a signal when it is not present.

The reward structure affecting how inspectors make detections.

Hit rates: Clouseau .80, Morse .99; FA Rates: Clouseau .44, Morse .63.

Hit rates: Clouseau .65, Morse .85; FA Rates: Clouseau .27, Morse .15.

Hit rates: Clouseau .45, Morse .50; FA Rates: Clouseau .10, Morse .02.

Determining how effectively an inspector identifies signals based on performance.

The best balance point for false alarms versus hits in a detection task.

The ratio of the probabilities of noise to the probability of a signal.

The observation and analysis of how inspectors detect flaws.

An incorrect report of a signal when it is actually noise.

A reference table for calculating d' values in detection theory.

Changes in inspector behavior based on reward systems across sessions.

A third inspector whose performance indicates overall sensitivity.

A normalization of the ROC curve for better sensitivity assessment.

Indicates poor detection capability in an ROC curve.

The ratio of hits to total positive cases detected.

The proportion of times a non-signal is correctly identified.

Changing detection strategy based on payoff conditions.

A field that studies how decisions are made under uncertainty.

A systematic pattern of deviation from norm or rationality in judgment.

The process of identifying the presence of a signal amid distractions.