2014
DOI: 10.3758/s13423-014-0786-z
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Addition goes where the big numbers are: evidence for a reversed operational momentum effect

Abstract: Number processing evokes spatial biases, both when dealing with single digits and in more complex mental calculations. Here we investigated whether these two biases have a common origin, by examining their flexibility. Participants pointed to the locations of arithmetic results on a visually presented line with an inverted, right-to-left number arrangement. We found directionally opposite spatial biases for mental arithmetic and for a parity task administered both before and after the arithmetic task. We discu… Show more

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Cited by 20 publications
(16 citation statements)
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“…Reverse OM was previously reported by Knops et al ( 2013 ) in non-symbolic addition and subtraction, perhaps reflecting lack of arithmetic knowledge in the children tested. It was also found in a spatial pointing task with adults by (Pinhas et al ( 2015 ), see also Klein et al, 2014 ), due to reversal of the visually presented number interval. Importantly, none of the OM accounts can explain the reverse OM we found when comparing multiplication and division.…”
Section: Discussionmentioning
confidence: 65%
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“…Reverse OM was previously reported by Knops et al ( 2013 ) in non-symbolic addition and subtraction, perhaps reflecting lack of arithmetic knowledge in the children tested. It was also found in a spatial pointing task with adults by (Pinhas et al ( 2015 ), see also Klein et al, 2014 ), due to reversal of the visually presented number interval. Importantly, none of the OM accounts can explain the reverse OM we found when comparing multiplication and division.…”
Section: Discussionmentioning
confidence: 65%
“…Why has it not been noticed in subtraction problems where the first operand is also bigger? Indeed, we think that anchoring sheds a fresh light on the previous puzzle of larger OM for zero compared to non-zero problems (Pinhas and Fischer, 2008 ; Pinhas et al, 2015 ): specifically, the computation of OM for zero problems is based on comparing problems with identical first operands (e.g., 3 + 0 vs. 3–0), thus equating the anchoring effect. In contrast, computing OM for non-zero problems with controlled outcomes (e.g., 2 + 1 vs. 4–1) dilutes OM in the second example because its first operand is larger and its associated anchoring bias counteracts the expected bias towards smaller numbers and thus the overall OM.…”
Section: Discussionmentioning
confidence: 98%
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