scholarly journals Towards theory integration: Threshold model as a link between signal detection theory, fast-and-frugal trees and evidence accumulation theory

2015 ◽  
Vol 23 (1) ◽  
pp. 49-65 ◽  
Author(s):  
Iztok Hozo ◽  
Benjamin Djulbegovic ◽  
Shenghua Luan ◽  
Athanasios Tsalatsanis ◽  
Gerd Gigerenzer
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Threshold Model ◽  
Detection Theory ◽  
Evidence Accumulation ◽  
Theory Integration

scholarly journals Unbounded evidence accumulation characterizes subjective visual vertical forced-choice perceptual choice and confidence

2017 ◽  
Vol 118 (5) ◽  
pp. 2636-2653 ◽  
Author(s):  
Koeun Lim ◽  
Wei Wang ◽  
Daniel M. Merfeld
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Forced Choice ◽  
Binary Choice ◽  
Subjective Visual Vertical ◽  
Drift Diffusion ◽  
Evidence Accumulation ◽  
Visual Vertical ◽  
The Brain

Humans can subjectively yet quantitatively assess choice confidence based on perceptual precision even when a perceptual decision is made without an immediate reward or feedback. However, surprisingly little is known about choice confidence. Here we investigate the dynamics of choice confidence by merging two parallel conceptual frameworks of decision making, signal detection theory and sequential analyses (i.e., drift-diffusion modeling). Specifically, to capture end-point statistics of binary choice and confidence, we built on a previous study that defined choice confidence in terms of psychophysics derived from signal detection theory. At the same time, we augmented this mathematical model to include accumulator dynamics of a drift-diffusion model to characterize the time dependence of the choice behaviors in a standard forced-choice paradigm in which stimulus duration is controlled by the operator. Human subjects performed a subjective visual vertical task, simultaneously reporting binary orientation choice and probabilistic confidence. Both binary choice and confidence experimental data displayed statistics and dynamics consistent with both signal detection theory and evidence accumulation, respectively. Specifically, the computational simulations showed that the unbounded evidence accumulator model fits the confidence data better than the classical bounded model, while bounded and unbounded models were indistinguishable for binary choice data. These results suggest that the brain can utilize mechanisms consistent with signal detection theory—especially when judging confidence without time pressure. NEW & NOTEWORTHY We found that choice confidence data show dynamics consistent with evidence accumulation for a forced-choice subjective visual vertical task. We also found that the evidence accumulation appeared unbounded when judging confidence, which suggests that the brain utilizes mechanisms consistent with signal detection theory to determine choice confidence.

So, Whatever Happened to Signal Detection Theory?

1995 ◽  
Vol 40 (10) ◽  
pp. 972-972
Author(s):  
Jerome R. Busemeyer
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory

Application of Fuzzy Signal Detection Theory to vigilance: The effect of criterion shifts

2003 ◽  
Author(s):  
Shawn C. Stafford ◽  
James L. Szalma ◽  
Peter A. Hancock ◽  
Mustapha Mouloua
Keyword(s):  
Signal Detection ◽  
Signal Detection Theory ◽  
Detection Theory ◽  
Criterion Shifts
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