Effect of luminance exposure duration, and task complexity on reaction time.

1965 ◽  
Vol 69 (4) ◽  
pp. 393-400 ◽  
Author(s):  
Jaques Kaswan ◽  
Stephen Young
2019 ◽  
Author(s):  
Samuel McDougle ◽  
Anne Collins

What determines the speed of our decisions? Various models of decision-making have focused on perceptual evidence, past experience, and task complexity as important factors determining the degree of deliberation needed for a decision. Here, we build on a sequential sampling decision-making framework to develop a new model that captures a range of reaction time (RT) effects by accounting for both working memory and instrumental learning processes. The model captures choices and RTs at various stages of learning, and in learning environments with varying complexity. Moreover, the model generalizes from tasks with deterministic reward contingencies to probabilistic ones. The model succeeds in part by incorporating prior uncertainty over actions when modeling RT. This straightforward process model provides a parsimonious account of decision dynamics during instrumental learning and makes unique predictions about internal representations of action values.


1992 ◽  
Vol 44 (1) ◽  
pp. 119-139 ◽  
Author(s):  
E. A. Maylor ◽  
P. M. A. Rabbitt ◽  
G. H. James ◽  
S. A. Kerr

The effects of alcohol (1.0 ml/kg body weight) and practice (2 sessions) were investigated in 2-, 4-, and 8-choice reaction time (RT) tasks with 24 male subjects. The number of errors increased with alcohol, practice, and increasing task complexity (choice). Mean RT decreased with practice, but increased with alcohol and complexity. Both the alcohol and practice effects on mean RT increased as complexity increased. The effects of alcohol, practice, and complexity were all larger for the higher percentiles of the RT distributions than for the lower percentiles. RT distributions were further analysed at each level of choice by plotting percentiles (5th, 10th, …, 95th) for alcohol conditions against corresponding percentiles for no-alcohol conditions, and percentiles obtained early in practice (Session 1) against those obtained later in practice (Session 2). These plots revealed that whereas at all levels of choice the effect of alcohol could be expressed as a simple linear transformation of all RTs, the effect of practice required a more complex curvilinear transformation. Thus, alcohol produces a general slowing of all RTs, whereas practice produces a disproportionate improvement at the slower end of the RT distribution.


1970 ◽  
Vol 83 (2, Pt.1) ◽  
pp. 329-330 ◽  
Author(s):  
Peter Suedfeld ◽  
P. Bruce Landon
Keyword(s):  

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