Bensilum, Mark and Cooper, Rick (2023) Quantifying performance in magnitude comparison tasks using a drift-diffusion model. In: 21st International Conference on Cognitive Modelling, 18-21 Jul 2023, Amsterdam, The Netherlands.
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Abstract
We investigate the viability of the drift-diffusion framework to account for behaviour on magnitude comparison tasks. Data from both published studies on magnitude comparison and a simulation are analysed to estimate the key drift-diffusion model parameters, using the EZ-diffusion method and HDDM package. All methods resulted in linear mappings between drift rate and difficulty (indexed using 1 - smaller/larger), with an intercept that was consistently close to zero for non- symbolic tasks. The EZ method was rapid and simple to apply, but subject to bias when using aggregate data or when individual accuracy was very high. In contrast, the HDDM tool produced results that were less biased, but individual differences were under-estimated. We conclude that application of parameter estimation methods, particularly in research on individual differences, requires careful consideration of their limitations.
Metadata
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | 21st International Conference on Cognitive Modelling held in conjunction with the 52nd Meeting of the European Mathematical Psychology Group |
| Keyword(s) / Subject(s): | magnitude comparison, numerical cognition, distance effect, drift-diffusion model, parameter estimation, individual differences |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Psychological Sciences |
| Research Centres and Institutes: | Cognition, Computation and Modelling, Centre for |
| Depositing User: | Rick Cooper |
| Date Deposited: | 26 Mar 2025 13:25 |
| Last Modified: | 13 Jun 2025 09:00 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/52432 |
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