Kraemer, Peter M. and Fontanesi, Laura and Spektor, Mikhail S. and Gluth, Sebastian. (2021) Response time models separate single- and dual-process accounts of memory-based decisions. Psychonomic Bulletin & Review, 28 (1). pp. 304-323.
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Official URL: https://edoc.unibas.ch/80002/
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Abstract
Human decisions often deviate from economic rationality and are influenced by cognitive biases. One such bias is the memory bias according to which people prefer choice options they have a better memory of—even when the options’ utilities are comparatively low. Although this phenomenon is well supported empirically, its cognitive foundation remains elusive. Here we test two conceivable computational accounts of the memory bias against each other. On the one hand, a single-process account explains the memory bias by assuming a single biased evidence-accumulation process in favor of remembered options. On the contrary, a dual-process account posits that some decisions are driven by a purely memory-driven process and others by a utility-maximizing one. We show that both accounts are indistinguishable based on choices alone as they make similar predictions with respect to the memory bias. However, they make qualitatively different predictions about response times. We tested the qualitative and quantitative predictions of both accounts on behavioral data from a memory-based decision-making task. Our results show that a single-process account provides a better account of the data, both qualitatively and quantitatively. In addition to deepening our understanding of memory-based decision-making, our study provides an example of how to rigorously compare single- versus dual-process models using empirical data and hierarchical Bayesian parameter estimation methods.
Faculties and Departments: | 07 Faculty of Psychology > Departement Psychologie > Ehemalige Einheiten Psychologie > Decision Neuroscience (Gluth) |
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UniBasel Contributors: | Kraemer, Peter M and Fontanesi, Laura and Spektor, Mikhail Sergeevic and Gluth, Sebastian |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | Springer |
ISSN: | 1069-9384 |
e-ISSN: | 1531-5320 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Identification Number: | |
Last Modified: | 03 Nov 2021 13:53 |
Deposited On: | 03 Nov 2021 13:53 |
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