A practical introduction to using the drift diffusion model of decision-making in cognitive psychology, neuroscience, and health sciences
Recent years have seen a rapid increase in the number of studies using evidence-
accumulation models (such as the drift diffusion model, DDM) in the fields of psychology and …
accumulation models (such as the drift diffusion model, DDM) in the fields of psychology and …
Quantifying aberrant approach-avoidance conflict in psychopathology: A review of computational approaches
Making effective decisions during approach-avoidance conflict is critical in daily life.
Aberrant decision-making during approach-avoidance conflict is evident in a range of …
Aberrant decision-making during approach-avoidance conflict is evident in a range of …
Combining speed and accuracy to control for speed-accuracy trade-offs (?)
HR Liesefeld, M Janczyk - Behavior Research Methods, 2019 - Springer
In psychological experiments, participants are typically instructed to respond as fast as
possible without sacrificing accuracy. How they interpret this instruction and, consequently …
possible without sacrificing accuracy. How they interpret this instruction and, consequently …
A flexible framework for simulating and fitting generalized drift-diffusion models
The drift-diffusion model (DDM) is an important decision-making model in cognitive
neuroscience. However, innovations in model form have been limited by methodological …
neuroscience. However, innovations in model form have been limited by methodological …
How many trials are required for parameter estimation in diffusion modeling? A comparison of different optimization criteria
Abstract Diffusion models (Ratcliff, 1978) make it possible to identify and separate different
cognitive processes underlying responses in binary decision tasks (eg, the speed of …
cognitive processes underlying responses in binary decision tasks (eg, the speed of …
" AI enhances our performance, I have no doubt this one will do the same": The Placebo effect is robust to negative descriptions of AI
Heightened AI expectations facilitate performance in human-AI interactions through placebo
effects. While lowering expectations to control for placebo effects is advisable, overly …
effects. While lowering expectations to control for placebo effects is advisable, overly …
Model complexity in diffusion modeling: Benefits of making the model more parsimonious
The diffusion model (Ratcliff,) takes into account the reaction time distributions of both
correct and erroneous responses from binary decision tasks. This high degree of information …
correct and erroneous responses from binary decision tasks. This high degree of information …
Social norms shape visual appearance: Taking a closer look at the link between social norm learning and perceptual decision-making
M Germar, VH Duderstadt, A Mojzisch - Cognition, 2023 - Elsevier
One of the most fundamental questions in social psychology is whether norms can change
individuals' minds by shaping the visual appearance of stimuli. This question was first raised …
individuals' minds by shaping the visual appearance of stimuli. This question was first raised …
Biased sequential sampling underlies the effects of time pressure and delay in social decision making
F Chen, I Krajbich - Nature communications, 2018 - nature.com
Social decision making involves balancing conflicts between selfishness and pro-sociality.
The cognitive processes underlying such decisions are not well understood, with some …
The cognitive processes underlying such decisions are not well understood, with some …
Diffusion modeling and intelligence: Drift rates show both domain-general and domain-specific relations with intelligence.
Several previous studies reported relationships between speed of information processing as
measured with the drift parameter of the diffusion model (Ratcliff, 1978) and general …
measured with the drift parameter of the diffusion model (Ratcliff, 1978) and general …