@article{FischerMiklashevskyShaki2018, author = {Fischer, Martin H. and Miklashevsky, Alex A. and Shaki, Samuel}, title = {Commentary : The Developmental Trajectory of the Operational Momentum Effect}, series = {Frontiers in Psychology}, volume = {9}, journal = {Frontiers in Psychology}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2018.02259}, pages = {3}, year = {2018}, language = {en} } @article{FischerShaki2018, author = {Fischer, Martin H. and Shaki, Samuel}, title = {Repeating Numbers Reduces Results: Violations of the Identity Axiom in Mental Arithmetic}, series = {Frontiers in psychology}, volume = {9}, journal = {Frontiers in psychology}, publisher = {Frontiers Research Foundation}, address = {Lausanne}, issn = {1664-1078}, doi = {10.3389/fpsyg.2018.02453}, pages = {9}, year = {2018}, abstract = {Even simple mental arithmetic is fraught with cognitive biases. For example, adding repeated numbers (so-called tie problems, e.g., 2 + 2) not only has a speed and accuracy advantage over adding different numbers (e.g., 1 + 3) but may also lead to under-representation of the result relative to a standard value (Charras et al., 2012, 2014). Does the tie advantage merely reflect easier encoding or retrieval compared to non-ties, or also a distorted result representation? To answer this question, 47 healthy adults performed two tasks, both of which indicated under-representation of tie results: In a result-to-position pointing task (Experiment 1) we measured the spatial mapping of numbers and found a left-bias for tie compared to non-tie problems. In a result-to-line-length production task (Experiment 2) we measured the underlying magnitude representation directly and obtained shorter lines for tie-compared to non-tie problems. These observations suggest that the processing benefit of tie problems comes at the cost of representational reduction of result meaning. This conclusion is discussed in the context of a recent model of arithmetic heuristics and biases.}, language = {en} }