Signal Detection Theory

By J. C. Hancock, Paul A. Wintz. 2006

543 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/3f52f26c45a40ac694a6a4c44725aeba28a59ca3

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In Cognitive Neuroscience

Citations in the corpus

Comparing Anomaly Detection Techniques for HTTP (2007, unknown): “The traditional method for reporting IDS results is a receiver operating characteristic (ROC) curve that shows the tradeoff between identifying real attacks (true positives) and incorrectly flagging non-attack requests as an attack (false positives) [37].”
Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays (2017, unknown): “Signal detection theory (SDT) describes accuracy in human perception and decision making tasks by taking into account preferences for certain types of responses [17, 38].”
The Cambridge Face Memory Test: results for neurologically intact individuals and an investigation of its validity using inverted face stimuli and prosopagnosic participants. (2006, background): “To compare how well each test discriminates between individuals with normal face recognition and those with impaired face recognition, we have computed d for each test. d is a bias-free measure of discrimination (Green and Swets, 1966).”
A quantitative study on detection and estimation of weak signals by using chaotic Duffing oscillators (2003, methodology): “In this brief, it is straightforward for us to use the Bayes rule since the priori signal statistics is completely known [35].”
Data Mining Static Code Attributes to Learn Defect Predictors (2007, methodology): “Signal detection theory [42] offers ROC curves as an analysis method for assessing different predictors.”
Cognitive Predictors of Achievement Growth in Mathematics: A Five Year Longitudinal Study (2011, unknown): “Using signal-detection methods, Geary et al. (2009) found that a sensitivity measure, dЈ (z scores for hits – z scores for false alarms; MacMillan, 2002) was predictive of mathematics but not reading achievement above and beyond the 4 GEARY influence of domain general abilities.”
How can we measure awareness? An overview of current methods (2015, background): “…might reflect a participant's response criterion (indicated as c in the formalism of signal detection theory (SDT), see Green and Swets 1966; Macmillan and Creelman 1991) to one specific conscious process, rather than being indicative of the boundary between conscious and unconscious…”