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However, the mechanisms underlying these reciprocal effects remain debated. We investigated these interactions using psychophysical measures, individual difference analyses and drift\u2010diffusion model (DDM). Participants completed temporal and spatial bisection tasks in separate blocks, judging either the duration or the distance between two successively flashed dots while the irrelevant dimension varied orthogonally. This parametric design enabled the assessment of space\u2010on\u2010time (Kappa) and time\u2010on\u2010space (Tau) effects within the same individuals. Spatial judgements were more precise than temporal judgements, but both tasks showed robust, graded cross\u2010dimensional interference. DDM analyses revealed that relevant and irrelevant magnitudes both modulated the drift rate, indicating that task\u2010irrelevant information influenced evidence accumulation. Individual precision, indexed by the Weber Ratio, predicted drift rate slopes for the relevant dimension but was not systematically associated with susceptibility to interference. Conversely, perceptual bias was closely related to the modulation of the drift rate by irrelevant magnitudes. These findings show that reciprocal space\u2013time interference can be characterized by combining psychophysics and diffusion modelling and suggest that it reflects perceptual, decisional and contextual influences.<\/jats:p>","DOI":"10.1111\/bjop.70113","type":"journal-article","created":{"date-parts":[[2026,9,28]],"date-time":"2026-09-28T09:42:04Z","timestamp":1790588524000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Space\u2013time interference in magnitude judgements revealed by drift\u2010diffusion modelling"],"prefix":"10.1111","author":[{"ORCID":"https:\/\/orcid.org\/0009-0000-9511-7794","authenticated-orcid":false,"given":"Pom","family":"Charras","sequence":"first","affiliation":[{"name":"Univ Paul Val\u00e9ry Montpellier 3, EPSYLON EA 4556  Montpellier France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2494-8341","authenticated-orcid":false,"given":"Renato","family":"Ponce","sequence":"additional","affiliation":[{"name":"Mind, Brain and Behavior Research Center (CIMCYC) University of Granada  Granada Spain"},{"name":"Department of Experimental Psychology University of Granada  Granada Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6157-9894","authenticated-orcid":false,"given":"Juan","family":"Lupi\u00e1\u00f1ez","sequence":"additional","affiliation":[{"name":"Mind, Brain and Behavior Research Center (CIMCYC) University of Granada  Granada Spain"},{"name":"Department of Experimental Psychology University of Granada  Granada Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7880-7320","authenticated-orcid":false,"given":"Mariagrazia","family":"Capizzi","sequence":"additional","affiliation":[{"name":"Mind, Brain and Behavior Research Center (CIMCYC) University of Granada  Granada Spain"},{"name":"Department of Experimental Psychology University of Granada  Granada Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,9,28]]},"reference":[{"issue":"2","key":"e_1_2_13_2_1","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1093\/biomet\/asm017","article-title":"Bayesian predictive information criterion for the evaluation of hierarchical Bayesian and empirical bayes models","volume":"94","author":"Ando T.","year":"2007","journal-title":"Biometrika"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00426\u2010014\u20100608\u2010y"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actpsy.2014.03.005"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cobeha.2016.02.002"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13414\u2010023\u201002737\u2010x"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13414\u2010025\u201003093\u20108"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1098\/rstb.2009.0028"},{"key":"e_1_2_13_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cognition.2014.11.039"},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00426\u2010020\u201001472\u20104"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cogpsych.2018.08.001"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.actpsy.2022.103608"},{"key":"e_1_2_13_13_1","doi-asserted-by":"publisher","DOI":"10.3758\/s13423\u2010023\u201002325\u2010y"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cognition.2007.03.004"},{"key":"e_1_2_13_15_1","unstructured":"Champely S.(2023).pwr: Basic functions for power analysis. 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