scholarly journals The Leaky Integrating Threshold and its impact on evidence accumulation models of choice response time (RT).

2020 ◽  
Author(s):  
Stijn Verdonck ◽  
Tim Loossens ◽  
Marios G. Philiastides
Keyword(s):  
Response Time ◽  
Choice Response ◽  
Evidence Accumulation ◽  
Choice Response Time

scholarly journals Evidence Accumulation Models: Current Limitations and Future Directions

2019 ◽  
Author(s):  
Nathan J. Evans ◽  
Eric-Jan Wagenmakers
Keyword(s):  
Decision Making ◽  
Response Time ◽  
Cognitive Processes ◽  
Measurement Tool ◽  
Decision Making Process ◽  
Choice Response ◽  
Experimental Conditions ◽  
Evidence Accumulation ◽  
Choice Response Time ◽  
Response Time Distributions

Evidence accumulation models (EAMs) have been the dominant models of speeded decision-making for several decades. These models propose that evidence accumulates for decision alternatives at some rate, until the evidence for one alternative reaches some threshold that triggers a decision. As a theory, EAMs have provided an accurate account of the choice response time distributions in a range of decision-making tasks, and as a measurement tool, EAMs have provided direct insight into how cognitive processes differ between groups and experimental conditions, resulting in EAMs becoming the standard paradigm of speeded decision-making. However, we argue that there are several limitations to how EAMs are currently tested and applied, which have begun to limit their value as a standard paradigm. Specifically, we believe that a theoretical plateau has been reached for the level of explanation that EAMs can provide about the decision-making process, and that applications of EAMs have started to become restrictive and of limited value. We provide several recommendations for how researchers can help to overcome these limitations. As a theory, we believe that EAMs can provide further value through being constrained by sources of data beyond the standard choice response time distributions, being extended to the entire decision-making process from encoding to responding, and having the random sources of variability replaced by systematic sources of variability. As a measurement tool, we believe that EAMs can provide further value through being a default method of inference for cognitive psychology in place of mean response time and choice, and being applied to a broader range of empirical questions that better capture individual differences in cognitive processes.

Accuracy versus choice response time in sound localization

1996 ◽  
Vol 49 (4) ◽  
pp. 405-417 ◽  
Author(s):  
Sharon M. Abel ◽  
P.Joy Banerjee
Keyword(s):  
Response Time ◽  
Sound Localization ◽  
Choice Response ◽  
Choice Response Time

scholarly journals The Effect of Alcohol Hangover on Choice Response Time

2015 ◽  
Author(s):  
James A. Grange ◽  
Richard Stephens ◽  
Kate Jones ◽  
Lauren Owen
Keyword(s):  
Response Time ◽  
Choice Response ◽  
Choice Response Time ◽  
Alcohol Hangover
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