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In 2001, psychologist Ian J. Deary published the first large-scale study of intelligence and reaction time in a representative population sample across a range of ages, finding a correlation between psychometric intelligence and simple reaction time of –0.31 and four-choice reaction time of –0.49.
Serial reaction time (SRT) is a commonly used parameter in the measurement of unconscious learning processes. [1] This parameter is operationalised through a SRT task, in which participants are asked to repeatedly respond to a fixed set of stimuli in which each cue signals that a particular response (i.e., button press) needs to be made.
Simple reaction time correlates with general cognitive ability, [4] and there is some evidence that the slope of responding on the Jensen box does as well. [2] Ian Deary and colleagues, in a population-based cohort study of 900 individuals, demonstrated correlations between IQ and simple choice RTs between –0.3 and –0.5. [ 4 ]
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Cognitive modeling is one way to evaluate the usability of a product. This method uses experimental times to calculate cognitive and motor processing time. The value of the human processor model is that it allows a system designer to predict the performance with respect to time it takes a person to complete a task without performing experiments.
Given n equally probable choices, the average reaction time T required to choose among the choices is approximately: T = b ⋅ log 2 ( n + 1 ) {\displaystyle T=b\cdot \log _{2}(n+1)} where b is a constant that can be determined empirically by fitting a line to measured data.
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