2009
DOI: 10.3758/app.71.4.803
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Dynamic representations underlying symbolic and nonsymbolic calculation: Evidence from the operational momentum effect

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Cited by 149 publications
(219 citation statements)
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References 47 publications
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“…OM has initially been observed with non-symbolic operations where participants estimated the number of visual objects (dots) that would result from adding two sets of dots or subtracting one set from the other (McCrink et al, 2007). However, OM has also been found in symbolic notation (Knops, Dehaene, Berteletti, & Zorzi, 2014;Knops, Viarouge, & Dehaene, 2009) which has been interpreted as evidence for a common underlying mechanism. OM has also been observed with paradigms that require translating the cognitively generated numerical estimate into a position on a labeled line (Pinhas & Fischer, 2008), or actively producing the outcome via a dot generating manual device (Lindemann & Tira, 2011).…”
mentioning
confidence: 99%
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“…OM has initially been observed with non-symbolic operations where participants estimated the number of visual objects (dots) that would result from adding two sets of dots or subtracting one set from the other (McCrink et al, 2007). However, OM has also been found in symbolic notation (Knops, Dehaene, Berteletti, & Zorzi, 2014;Knops, Viarouge, & Dehaene, 2009) which has been interpreted as evidence for a common underlying mechanism. OM has also been observed with paradigms that require translating the cognitively generated numerical estimate into a position on a labeled line (Pinhas & Fischer, 2008), or actively producing the outcome via a dot generating manual device (Lindemann & Tira, 2011).…”
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confidence: 99%
“…14 × 3 = 42) an OM effect was observed (Katz & Knops, 2014). However, for the corresponding non-symbolic problems where the quantities were presented as dot patterns a regular OM effect was observed.One crucial difference between the procedure adopted by Katz and Knops (2014) and previous studies (Knops, Viarouge, et al, 2009) was that the correct solution was presented as one of five response alternatives, potentially encouraging the engagement in exact calculation and direct retrieval rather than approximating the outcome. This may have reduced the opportunity to detect any systematic biases due to attentional shifts that accompany approximate quantity manipulations.…”
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confidence: 99%
“…Mc-Crink [9] firstly have shown, when performing approximate additions and subtractions, participants favour larger numbers for addition and smaller numbers for subtraction. Knops et al, [10] add information to this issue by demonstrating that during nonsymbolic addition, the subjects preferentially selected numbers at the upper right location, whereas during subtraction, they were biased toward the upper left location. The same group of researchers [11] further expanded this evidence by reporting a pattern of eye movement shifts to the left or to the right, during execution of arithmetic operations in association to posterior parietal cortex activation.…”
Section: Introductionmentioning
confidence: 99%
“…In many studies, participants respond along a particular spatial axis-for example, by pressing left-and right-side response keys (e.g., Dehaene et al, 1993;Pinhas & Fischer, 2008) or by making leftward and rightward head or arm movements (e.g., Loetscher, Schwarz, Schubiger, & Brugger, 2008;Marghetis et al, 2014;Wiemers, Bekkering, & Lindemann, 2014;Winter & Matlock, 2013). In other studies, the numerical stimuli themselves are presented at different spatial locations (e.g., Knops, Viarouge et al, 2009;Masson & Pesenti, 2014). Such methods leave open the possibility that the observed biases are artifacts of polarity correspondence (e.g., left-less/right-more, a type of stimulus-response compatibility; Proctor & Cho, 2006), rather than evidence of an MNL (see also Santens & Gevers, 2008).…”
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confidence: 99%
“…Mentally summing the values of successive cards, and thereby computing the total value of one's hand, is a prerequisite for making this decision wisely. Research suggests that such mental arithmetic may rely on an internal spatial representation of numerical magnitude (e.g., Knops, Viarouge, & Dehaene, 2009;Marghetis, Nuñez, & Bergen, 2014;McCrink, Dehaene, & DehaeneLambertz, 2007; for a review, see Fischer & Shaki, 2014). For example, when pointing to an arithmetic solution on a visually presented number line, participants are biased leftward on subtraction problems and rightward on addition problems (Pinhas & Fischer, 2008).…”
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confidence: 99%