We propose a new computational model, the multi-attribute attentional driftdiffusion model (maDDM), that describes how consumers weight a product's attributes when making a decision. The model makes predictions about how changes in the amount of attention deployed to different attributes affects ...
The drift diffusion model can account for the accuracy and reaction time of value-based choices under high and low time pressure. Judgm. Decis. Mak. 5, 437–449 (2010). Google Scholar Usher, M. & McClelland, J. L. Loss aversion and inhibition in dynamical models of multialternative ...
The current work uses the attentional Drift Diffusion Model as a unified computational framework to formalize three candidate mechanisms of pre-decisional information search and processing鈥攏amely, attention allocation, amount of deliberation, and distorted processing of value鈥攚hich may differ between ...
Smith and Krajbich (2019) have shown that the attentional drift-diffusion model (aDDM) can account for magnitude sensitivity. This is because the discount parameter on the value of the nonfixated alternative ensures faster choices for high-magnitude alternatives, even in the case of high-magnitude...
Smith and Krajbich (2019) have shown that the attentional drift-diffusion model (aDDM) can account for magnitude sensitivity. This is because the discount parameter on the value of the nonfixated alternative ensures faster choices for high-magnitude alternatives, even in the case of high-magnitude...
Attentional Networks TestDrift Diffusion ModelShrinking Spotlight ModelThe attentional network test (ANT) uses flanker stimuli with different cue conditions to quantify differences in attentional processing. However, it is unclear precisely how the alerting and......
We applied a drift diffusion model to investigate the precise cognitive mechanisms involved. The load effect was associated with significant differences in response time, accuracy and the diffusion modelling parameters drift rate and extra-decisional time. Greater anxiety was associated with greater ...
Using a Bayesian Hierarchical Drift Diffusion Model, we estimated decision making parameters for the superior and inferior visual field in deaf signers, hearing signers and hearing non-signers. Results indicated a greater attentional redistribution toward the inferior visual field in adult signers (both ...
When decomposed by means of the drift diffusion model, a general process model of decision making that has been widely used, both the congruency and cueing effects, is subserved by a change in decision thresholds. Meditators showed a modest overall increase in their decision threshold, which may...
ATTENTIONAL biasSTIMULUS & response (Psychology)ANXIETYCONTROL groupsSYMPTOMSANALYSIS of varianceTo examine the content specificity of threat-related attentional bias in health anxiety, we applied the drift-diffusion model (DDM) to investigate attentional bias toward three types of threat stimuli (general ...