Abstract
An important open problem is how values are compared to make simple choices. A natural hypothesis is that the brain carries out the computations associated with the value comparisons in a manner consistent with the Drift Diffusion Model (DDM), since this model has been able to account for a large amount of data in other domains. We investigated the ability of four different versions of the DDM to explain the data in a real binary food choice task under conditions of high and low time pressure. We found that a seven-parameter version of the DDM can account for the choice and reaction time data with high-accuracy, in both the high and low time pressure conditions. The changes associated with the introduction of time pressure could be traced to changes in two key model parameters: the barrier height and the noise in the slope of the drift process.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 437-449 |
| Number of pages | 13 |
| Journal | Judgment and Decision Making |
| Volume | 5 |
| Issue number | 6 |
| State | Published - Oct 2010 |
| Externally published | Yes |
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Keywords
- Drift-diffusion model
- Response time
- Value-based choice
ASJC Scopus subject areas
- Economics and Econometrics
- Decision Sciences(all)
- Applied Psychology
Cite this
The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure. / Mormann, Milica; Malmaud, Jonathan; Huth, Alexander; Koch, Christof; Rangel, Antonio.
In: Judgment and Decision Making, Vol. 5, No. 6, 10.2010, p. 437-449.Research output: Contribution to journal › Article
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TY - JOUR
T1 - The Drift Diffusion Model can account for the accuracy and reaction time of value-based choices under high and low time pressure
AU - Mormann, Milica
AU - Malmaud, Jonathan
AU - Huth, Alexander
AU - Koch, Christof
AU - Rangel, Antonio
PY - 2010/10
Y1 - 2010/10
N2 - An important open problem is how values are compared to make simple choices. A natural hypothesis is that the brain carries out the computations associated with the value comparisons in a manner consistent with the Drift Diffusion Model (DDM), since this model has been able to account for a large amount of data in other domains. We investigated the ability of four different versions of the DDM to explain the data in a real binary food choice task under conditions of high and low time pressure. We found that a seven-parameter version of the DDM can account for the choice and reaction time data with high-accuracy, in both the high and low time pressure conditions. The changes associated with the introduction of time pressure could be traced to changes in two key model parameters: the barrier height and the noise in the slope of the drift process.
AB - An important open problem is how values are compared to make simple choices. A natural hypothesis is that the brain carries out the computations associated with the value comparisons in a manner consistent with the Drift Diffusion Model (DDM), since this model has been able to account for a large amount of data in other domains. We investigated the ability of four different versions of the DDM to explain the data in a real binary food choice task under conditions of high and low time pressure. We found that a seven-parameter version of the DDM can account for the choice and reaction time data with high-accuracy, in both the high and low time pressure conditions. The changes associated with the introduction of time pressure could be traced to changes in two key model parameters: the barrier height and the noise in the slope of the drift process.
KW - Drift-diffusion model
KW - Response time
KW - Value-based choice
UR - http://www.scopus.com/inward/record.url?scp=78449253934&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78449253934&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:78449253934
VL - 5
SP - 437
EP - 449
JO - Judgment and Decision Making
JF - Judgment and Decision Making
SN - 1930-2975
IS - 6
ER -