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 ...
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 ...
For each model, the standard framework of the diffusion model was used with the drift rate allowed to vary over time. In this framework, the attentional components determine the relative contribution Experiments Five experiments were conducted to contrast the models and provide empirical validation ...
Table1shows the results of this model and Fig.1A illustrates the effects. We observed a significant main effect of previous outcome [χ2(1) = 114.61,p < 0.001] on participants’ choices, showing that participants were more likely to stay with their first-stage choice when the previ...
For example, using a drift-diffusion model, Green et al. (2010) showed that action video game play was associated with a greater slope in the rate of evidence accumulation, but essentially no difference in simple motor response times. Although this effect has been found in both cross-...
The SSP is an extension of the Drift Diffusion Model (DDM) of decision-making and was developed to elucidate the cognitive operations that underpin performance during flanker tasks (White et al., 2011). The model assumes that information is continually sampled from a stimulus until sufficient ...
Base model We started our computational analysis with a model that included the four main DDM parameters (a, z, v, Ter). We modeled the decision process as a diffusion process (i.e., including within-trial variability in drift rate) but abstained from introducing additional variability paramete...
This study applied the drift‐diffusion model (DDM) to the AP to determine if DDM parameters are associated with individual differences in irritability. Young adults (N = 152, Mage = 20.93 ± 1.98) completed the AP and self‐reported state frustration and trait irritability. Multiple ...
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...