2017
DOI: 10.3758/s13421-017-0703-6
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Adjustment of control in the numerical Stroop task

Abstract: In the numerical Stroop task, participants are asked to compare the physical sizes (physical task) or numerical values (numerical task) of two digits and ignore the irrelevant dimension. Participants are unable to ignore the irrelevant dimension as indicated by facilitation and interference effects. The literature suggests that there is asymmetry in the ability to adjust control in the physical and numerical tasks. The present study examined this suggestion in two experiments in which we manipulated the propor… Show more

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Cited by 21 publications
(37 citation statements)
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“…Because the SCE results from the interaction between a semantic feature (numerical size) and a visual feature (physical size), it is a descendent of the classic wordcolor Stroop (1935) effect. Indeed, the size congruity effect is often called the numeri cal Stroop effect (e.g., Dadon & Henik, 2017). In the Stroop literature, word meaning and color are typically presumed to be processed in separate systems (Blais & Besner, 2006).…”
Section: Discussionmentioning
confidence: 99%
“…Because the SCE results from the interaction between a semantic feature (numerical size) and a visual feature (physical size), it is a descendent of the classic wordcolor Stroop (1935) effect. Indeed, the size congruity effect is often called the numeri cal Stroop effect (e.g., Dadon & Henik, 2017). In the Stroop literature, word meaning and color are typically presumed to be processed in separate systems (Blais & Besner, 2006).…”
Section: Discussionmentioning
confidence: 99%
“…The size congruity effect has been interpreted as evidence for two aspects of magnitude processing: automaticity of computation of numerical and physical size magnitude (e.g., Dadon & Henik, 2017;Henik & Tzelgov, 1982;Pansky & Algom, 1999;Tzelgov, Meyer, & Henik, 1992) and shared representations underlying numerical and size magnitudes (e.g., Arend & Henik, 2015;Cohen Kadosh, Lammertyn, & Izard, 2008;Schwarz & Heinze, 1998). Let us consider the first point.…”
Section: Size Congruity Effect As An Indicator Of Shared Representatimentioning
confidence: 99%
“…On a strong automaticity account, no general processing resources would be required for computation or retrieval of magnitude. However, the congruity effect has been shown to be modulated (but not eliminated) by the discriminability of physical sizes and digit pairs as well as to some extent by practice and motivation, so strong automaticity can be ruled out (Algom, Dekel, & Pansky, 1996;Dadon & Henik, 2017;Pansky & Algom, 1999). Instead, the size and numerical magnitude computations seem to be automatic in the sense that activation of magnitude representations is obligatory (at least in the size congruity paradigm), but does require processing resources, and cognitive control can be exerted to some extent (Dadon & Henik, 2017;Pansky & Algom, 1999).…”
Section: Size Congruity Effect As An Indicator Of Shared Representatimentioning
confidence: 99%
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