Two-stage dynamic signal detection: a theory of choice, decision time, and confidence.

By Timothy J. Pleskac, Jerome R. Busemeyer. Psychology Review, 2010

677 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, General Decision Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/c8a5b527e9044d54d22c44b4af8c2dca64324dd6

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Citations in the corpus

Prefrontal contributions to metacognition in perceptual decision-making (2012, methodology): “After isolating a region of rostrolateral PFC that satisfies these three criteria, we went on to carry out an exploratory connectivity analysis seeded in rlPFC to identify candidate inter-relationships between brain regions during metacognitive reports.”
The Cognitive Neuroscience of Metacognition (2014, methodology): “[45] drew attention to the fact that accuracy and awareness in visual discrimination tasks can be described as sigmoid functions of stimulus intensity as had first been hypothesised by Koch and Preuschoff [46].”
Predicting biases in very highly educated samples: Numeracy and metacognition (2014, background): “…domain-general abilities and superior performance, as well as many compelling critiques of those theories (Baron, 1985; Kahneman, 2003, 2011; Reyna at al., 2009; Stanovich & West, 2000, 2008). and the breadth of information that comes to mind (Koriat, 2012; see also Pleskac & Busemeyer, 2010).”
Hierarchical decision processes that operate over distinct timescales underlie choice and changes in strategy (2016, neutral): “Logit PT ,F− ðswitchÞ = β0 + β1CT−1 + β2τT−1 + β3LT−1, [8]”
The neural basis of metacognitive ability (2012, methodology): “Recent models have been couched in an ‘evidence accumulation’ framework, in which samples of data are accumulated over time in order to model the temporal evolution of a decision [18, 72, 73].”
Post-decisional accounts of biases in confidence (2016, background): “ented in other choices with a timescale of a few seconds [15].”
A signal detection theoretic approach for estimating metacognitive sensitivity from confidence ratings. (2012, methodology): “For instance, on some models, type 2 decisions are based upon further processing of the same information used to make type 1 decisions (Lau & Rosenthal, 2011; Maniscalco & Lau, 2010; Pleskac & Busemeyer, 2010).”
Self-Evaluation of Decision-Making: A General Bayesian Framework for Metacognitive Computation (2017, methodology): “Similarly, Pleskac & Busemeyer’s 2-stage dynamic signal detection (2DSD) model proposes that a decision variable continues accumulating beyond the decision time, at which point confidence is determined by its relation to a set of response criteria (Pleskac & Busemeyer, 2010).”