Elementary Signal Detection Theory

By T. Wickens. 2001

1,219 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/6149af35bbcf7ef4b4c1d00be91149224245002e

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Citations in the corpus

An Evaluation of Psychophysical Models of Auditory Change Perception (2008, neutral): “…Jesteadt & Bilger, 1974; Jesteadt & Sims, 1975) intended to determine whether this relationship was consistent with the predictions of the standard constant-variance Gaussian (CVG) psychophysical model from signal detection theory (Green & Swets, 1966; Macmillan & Creelman, 2005; Wickens, 2001).”
crowdsourcing : rating annotators and obtaining cost-effective labels (2010, neutral): “If we assume that the signal xi is a random variable generated from one of two distributions, p(xi | zi = k) ∼ N (μj , σ(2)), we can compute the annotator’s sensitivity index dj , defined as [15], dj = |μ(1)j − μj | σ .”
Automation Reliability in Unmanned Aerial Vehicle Control: A Reliance-Compliance Model of Automation Dependence in High Workload (2006, background): “The current study considered the role of imperfect automation in buffering multitask interference, as a single UAV pilot may be called upon to perform the multiple tasks required of UAV supervision and control.”
Prototype Classification: Insights from Machine Learning (2009, methodology): “Most important, the distance distributions allow us to compare our prototype framework directly with signal detection theory (Green & Swets, 1966; Wickens, 2002 ).”
Separate neural definitions of visual consciousness and visual attention; a case for phenomenal awareness (2004, background): “' Signal detection theory has shown us that these answers not only depend on the (subjective) experience of the stimulus (Wickens, 2002).”
Annual Research Review: On the relations among self-regulation, self-control, executive functioning, effortful control, cognitive control, impulsivity, risk-taking, and inhibition for developmental psychopathology (2016, neutral): “…Shoda, 1995), a range of mathematical decision models including signal detection (Green & Swets, 1966; Sergeant, Oosterlaan, & van der Meere, 1999; Wickens, 2002), timing (Gibbon, Church, Fairhurst, & Kacelnik, 1988; Wearden & Lejeune, 2008), discounting (Mitchell, Wilson, & Karalunas, 2015;…”
Where the division lies: Common ingroup identity moderates the cross-race facial-recognition effect (2010, methodology): “According to signal detection theory ( Wickens, 2002 ), an evaluation of performance on a facial recognition task can be created from the percentage of ‘‘Hits,” the correct identification of an old face, and ‘‘False alarms,” the misidentification of a new face as an old face.”
Prototypes of race and gender: The invisibility of Black women (2010, background): “Also per convention perfect hit rates were changed to .95 (affecting 73 cases; see Wickens, 2002).”
Evolution and behavioural responses to human-induced rapid environmental change (2011, background): “The organism’s actual bias is the log of the slope of the ROC curve at a particular point, which means ROC analysis can allow experimentalists to evaluate the perceived effects of Type 1 and Type 2 error for their organisms in novel environments (Wickens 2001).”
On a signal detection approach to m-alternative forced choice with bias, with maximum likelihood and Bayesian approaches to estimation (2012, methodology): “Bias, in the typical discussion of forced choice, usually refers to a non-perceptual factor that affects the observer’s choice, such as preferring the right-most alternative in a forced choice task, which is a ‘position’ bias (see Macmillan & Creelman, 2005; Wickens, 2002).”
Noise characteristics and prior expectations in human visual speed perception (2006, background): “Over a large number of simulated trials, the decision probability will follow a psychometric curve according to the cumulative probability function [43, 44 ]”
A Practical Guide to Doing Behavioral Research on Fake News and Misinformation (2020, background): “This distinction is a classic issue in signal detection theory (Wickens, 2002): Someone who (for example) does not believe any fake news headlines may have the appearance of being highly discerning in their belief; however, if they also don’t believe any true news headlines than they can be said to…”
Distractor plausibility and criterion placement in recognition (2004, methodology): “Wickens (2001) . For a fuller treatment of this topic, the reader is encouraged to read that book.”