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Assessing model-based inferences in decision making with single-trial response time decomposition
- Source :
- Journal of Experimental Psychology: General, Journal of Experimental Psychology: General, American Psychological Association, 2021, Advance online publication, ⟨10.1037/xge0001010⟩, Journal of Experimental Psychology: General, 2021, 150 (8), pp.1528-1555. ⟨10.1037/xge0001010⟩, HAL
- Publication Year :
- 2021
- Publisher :
- HAL CCSD, 2021.
-
Abstract
- Decision-making models based on evidence accumulation processes (the most prolific one being the drift-diffusion model – DDM) are widely used to draw inferences about latent psychological processes from chronometric data. While the observed goodness of fit in a wide range of tasks supports the model’s validity, the derived interpretations have yet to be sufficiently cross-validated with other measures that also reflect cognitive processing. To do so, we recorded electromyographic (EMG) activity along with response times (RT), and used it to decompose every RT into two components: a pre-motor (PMT) and motor time (MT). These measures were mapped to the DDM's parameters, thus allowing a test, beyond quality of fit, of the validity of the model’s assumptions and their usual interpretation. In two perceptual decision tasks, performed within a canonical task setting, we manipulated stimulus contrast, speed-accuracy trade-off, and response force, and assessed their effects on PMT, MT, and RT. Contrary to common assumptions, these three factors consistently affected MT. DDM parameter estimates of non-decision processes are thought to include motor execution processes, and they were globally linked to the recorded response execution MT. However, when the assumption of independence between decision and non-decision processes was not met, in the fastest trials, the link was weaker. Overall, the results show a fair concordance between model-based and EMG-based decompositions of RTs, but also establish some limits on the interpretability of decision model parameters linked to response execution.
- Subjects :
- Cognitive model
media_common.quotation_subject
Decision Making
Experimental and Cognitive Psychology
Interval (mathematics)
Models, Psychological
Machine learning
computer.software_genre
050105 experimental psychology
Interpretation (model theory)
03 medical and health sciences
0302 clinical medicine
Developmental Neuroscience
Reaction Time
Humans
Quality (business)
0501 psychology and cognitive sciences
General Psychology
media_common
Interpretability
business.industry
[SCCO.NEUR]Cognitive science/Neuroscience
05 social sciences
Response time
Cognition
Motor processes
[SCCO.PSYC]Cognitive science/Psychology
Artificial intelligence
business
Psychology
computer
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- ISSN :
- 00963445
- Database :
- OpenAIRE
- Journal :
- Journal of Experimental Psychology: General, Journal of Experimental Psychology: General, American Psychological Association, 2021, Advance online publication, ⟨10.1037/xge0001010⟩, Journal of Experimental Psychology: General, 2021, 150 (8), pp.1528-1555. ⟨10.1037/xge0001010⟩, HAL
- Accession number :
- edsair.doi.dedup.....b706086de6dddf7762c7cb9200d1def0