How Distracting Events Influence Young and Older adults’ Arithmetic Performance?

References

• Allen, P. A., Ashcraft, M. H., & Weber, T. A. (1992). On mental multiplication and age. Psychology and Aging, 7(4), 536. doi:10.1037/0882-7974.7.4.536
   PubMed Web of Science ®Google Scholar
• Allen, P. A., Smith, A. F., Jerge, K. A., & Vires-Collins, H. (1997). Age differences in mental multiplication: Evidence for peripheral but not central decrements. The Journals of Gerontology: Series B, 52B(2), 81‑P90. doi:10.1093/geronb/52B.2.P81
   Google Scholar
• Ambrosi, S., Śmigasiewicz, K., Burle, B., & Blaye, A. (2020). The dynamics of interference control across childhood and adolescence: Distribution analyses in three conflict tasks and ten age groups. Developmental Psychology, 56(12), 2262‑2280. doi:10.1037/dev0001122
   PubMed Web of Science ®Google Scholar
• Ardiale, E., & Lemaire, P. (2012). Within-item strategy switching: An age comparative study in adults. Psychology and Aging, 27(4), 1138‑1151. doi:10.1037/a0027772
   PubMed Web of Science ®Google Scholar
• Beaman, P. (2005). Irrelevant sound effects amongst younger and older adults: Objective findings and subjective insights. European Journal of Cognitive Psychology, 17(2), 241‑265. doi:10.1080/09541440440000023
   Google Scholar
• Belleville, S., Rouleau, N., Van der Linden, M., & Collette, F. (2003). Effect of manipulation and irrelevant noise on working memory capacity of patients with Alzheimer’s dementia. Neuropsychology, 17(1), 69‑81. doi:10.1037/0894-4105.17.1.69
   PubMed Web of Science ®Google Scholar
• Bidet-Caulet, A., Bottemanne, L., Fonteneau, C., Giard, M.-H., & Bertrand, O. (2015). Brain dynamics of distractibility: Interaction between top-down and bottom-up mechanisms of auditory attention. Brain Topography, 28(3), 423‑436. doi:10.1007/s10548-014-0354-x
   PubMed Web of Science ®Google Scholar
• Bull, R., Johnston, R. S., & Roy, J. A. (1999). Exploring the roles of the visual‐spatial sketch pad and central executive in children’s arithmetical skills: Views from cognition and developmental neuropsychology. Developmental Neuropsychology, 15(3), 421‑442. doi:10.1080/87565649909540759
   Web of Science ®Google Scholar
• Bull, R., & Lee, K. (2014). Executive functioning and mathematics achievement. Child Development Perspectives, 8(1), 36‑41. doi:10.1111/cdep.12059
   Web of Science ®Google Scholar
• Bull, R., & Scerif, G. (2001). Executive functioning as a predictor of children’s mathematics ability: Inhibition, switching, and working memory. Developmental Neuropsychology, 19(3), 273‑293. doi:10.1207/S15326942DN1903_3
   PubMed Web of Science ®Google Scholar
• Campbell, J. I. D., & Austin, S. (2002). Effects of response time deadlines on adults’ strategy choices for simple addition. Memory & Cognition, 30(6), 988‑994. doi:10.3758/BF03195782
   PubMed Web of Science ®Google Scholar
• Campbell, K. L., Lustig, C., & Hasher, L. (2020). Aging and inhibition: Introduction to the special issue. Psychology and Aging, 35(5), 605‑613. doi:10.1037/pag0000564
   PubMed Web of Science ®Google Scholar
• Clapp, W. C., & Gazzaley, A. (2012). Distinct mechanisms for the impact of distraction and interruption on working memory in aging. Neurobiology of Aging, 33(1), 134‑148. doi:10.1016/j.neurobiolaging.2010.01.012
   PubMed Web of Science ®Google Scholar
• Cragg, L., & Gilmore, C. (2014). Skills underlying mathematics: The role of executive function in the development of mathematics proficiency. Trends in Neuroscience and Education, 3(2), 63‑68. doi:10.1016/j.tine.2013.12.001
   Google Scholar
• Davies, D. R., & Parasuraman, R. (1982). The psychology of vigilance. New York: Academic Press.
   Google Scholar
• Deiber, M.-P., Rodriguez, C., Jaques, D., Missonnier, P., Emch, J. … Ibañez, V. (2010). Aging effects on selective attention-related electroencephalographic patterns during face encoding. Neuroscience, 171(1), 173‑186. doi:10.1016/j.neuroscience.2010.08.051
   PubMed Web of Science ®Google Scholar
• Dowker, A., Sarkar, A., & Looi, C. Y. (2016). Mathematics anxiety: What have we learned in 60 years? Frontiers in Psychology, 7, 7. doi:10.3389/fpsyg.2016.00508
   PubMed Web of Science ®Google Scholar
• Duverne, S., & Lemaire, P. (2005). Arithmetic split effects reflect strategy selection: An adult age comparative study in addition comparison and verification tasks. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 59(4), 262‑278. doi:10.1037/h0087479
   PubMed Web of Science ®Google Scholar
• ElShafei, H. A., Fornoni, L., Masson, R., Bertrand, O., & Bidet-Caulet, A. (2019). What’s in your gamma? Activation of the ventral fronto-parietal attentional network in response to distracting sounds. Cerebral Cortex, bhz119. doi:10.1093/cercor/bhz119
   Web of Science ®Google Scholar
• ElShafei, H. A., Fornoni, L., Masson, R., Bertrand, O., Bidet-Caulet, A., & Alain, C. (2020). Age-related modulations of alpha and gamma brain activities underlying anticipation and distraction. PLOS ONE, 15(3), e0229334. doi:10.1371/journal.pone.0229334
   PubMed Web of Science ®Google Scholar
• Escera, C., Alho, K., Schröger, E., & Winkler, I. W. (2000). Involuntary attention and distractibility as evaluated with event-related brain potentials. Audiology and Neurotology, 5(3‑4), 151‑166. doi:10.1159/000013877
   Web of Science ®Google Scholar
• Fabre, L., & Lemaire, P. (2019). How emotions modulate arithmetic performance: A study in arithmetic problem verification tasks. Experimental Psychology, 66(5), 368‑376. doi:10.1027/1618-3169/a000460
   PubMed Web of Science ®Google Scholar
• Gallant, S. N., Durbin, K. A., & Mather, M. (2020). Age differences in vulnerability to distraction under arousal. Psychology and Aging, 35(5), 780‑791. doi:10.1037/pag0000426
   PubMed Web of Science ®Google Scholar
• Gazzaley, A., Clapp, W., Kelley, J., McEvoy, K., Knight, R. T., & D’Esposito, M. (2008). Age-related top-down suppression deficit in the early stages of cortical visual memory processing. Proceedings of the National Academy of Sciences of the United States of America, 105(35), 13122‑13126. doi:10.1073/pnas.0806074105
   PubMed Web of Science ®Google Scholar
• Gazzaley, A., Cooney, J. W., Rissman, J., & D’Esposito, M. (2005). Top-down suppression deficit underlies working memory impairment in normal aging. Nature Neuroscience, 8(10), 1298‑1300. doi:10.1038/nn1543
   PubMed Web of Science ®Google Scholar
• Geary, D. C. (1994). Children’s mathematical development : Research and practical applications. American Psychological Association. doi:10.1037/10163-000
   Google Scholar
• Giambra, L. M. (1993). Sustained attention in older adults : Performance and processes. In Adult information processing : Limits on loss (pp. 259‑272). Academic Press. doi:10.1037/0882-7974.3.1.75
   Google Scholar
• Gilmore, C., Göbel, S. M., & Inglis, M. (2018). An introduction to mathematical cognition. New York: Routledge, Taylor & Francis Group.
   Google Scholar
• Gomez, P., & Perea, M. (2020). Masked identity priming reflects an encoding advantage in developing readers. Journal of Experimental Child Psychology, 199, 104911. doi:10.1016/j.jecp.2020.104911
   PubMed Web of Science ®Google Scholar
• Gootjes, L., Van Strien, J. W., & Bouma, A. (2004). Age effects in identifying and localising dichotic stimuli: A corpus callosum deficit. Journal of Clinical and Experimental Neuropsychology, 26(6), 826‑837. doi:10.1080/13803390490509448
   PubMed Web of Science ®Google Scholar
• Guerreiro, M. J. S., Murphy, D. R., & Van Gerven, P. W. M. (2010). The role of sensory modality in age-related distraction: A critical review and a renewed view. Psychological Bulletin, 136(6), 975‑1022. doi:10.1037/a0020731
   PubMed Web of Science ®Google Scholar
• Hammerstein, S., Poloczek, S., Lösche, P., Lemaire, P., & Büttner, G. (2019). Effects of working memory updating on children’s arithmetic performance and strategy use: A study in computational estimation. Journal of Experimental Child Psychology, 184, 174‑191. doi:10.1016/j.jecp.2019.04.003
   PubMed Web of Science ®Google Scholar
• Hasher, L., & Zacks, R. T. (1988). Working memory, comprehension, and aging : A review and a new view. In Psychology of learning and motivation (Vol. 22, pp. 193‑225). Elsevier. doi:10.1016/S0079-7421(08)60041-9
   Google Scholar
• Hodzik, S., & Lemaire, P. (2011). Inhibition and shifting capacities mediate adults’ age-related differences in strategy selection and repertoire. Acta Psychologica, 137(3), 335‑344. doi:10.1016/j.actpsy.2011.04.002
   PubMed Web of Science ®Google Scholar
• Hommel, B., Li, K. Z. H., & Li, S.-C. (2004). Visual search across the life span. Developmental Psychology, 40(4), 545‑558. doi:10.1037/0012-1649.40.4.545
   PubMed Web of Science ®Google Scholar
• Hommet, C., Mondon, K., Berrut, G., Gouyer, Y., Isingrini, M., Constans, T., & Belzung, C. (2010). Central auditory processing in aging: The dichotic listening paradigm. The Journal of Nutrition, Health & Aging, 14(9), 751‑756. doi:10.1007/s12603-010-0097-7
   PubMed Web of Science ®Google Scholar
• Imbo, I., & Vandierendonck, A. (2007). The development of strategy use in elementary school children: Working memory and individual differences. Journal of Experimental Child Psychology, 96(4), 284‑309. doi:10.1016/j.jecp.2006.09.001
   PubMed Web of Science ®Google Scholar
• Kadosh, R. C., & Dowker, A. (2015). The Oxford handbook of numerical cognition. Oxford: Oxford University Press.
   Google Scholar
• Khng, K. H., & Lee, K. (2009). Inhibiting interference from prior knowledge: Arithmetic intrusions in algebra word problem solving. Learning and Individual Differences, 19(2), 262‑268. doi:10.1016/j.lindif.2009.01.004
   Web of Science ®Google Scholar
• Knops, A. (2020). Numerical cognition. Routledge. ISBN-978-0-8153-5722-3
   Google Scholar
• Lallement, C., & Lemaire, P. (2021). Age-related differences in how negative emotions influence arithmetic performance. Cognition and Emotion, 35(7), 1382‑1399. doi:10.1080/02699931.2021.1967884
   PubMed Web of Science ®Google Scholar
• Lang, P. J., & Bradley, M. M. (2007). The International Affective Picture System (IAPS) in the study of emotion and attention. In J. A. Coan & J. J. B. Allen (Eds.), Handbook of emotion elicitation and assessment (pp. 29–46). Oxford University Press.
   Google Scholar
• Lang, P. J., Bradley, M. M., & Cuthbert, B. N. (2008). The International Affective Picture System (IAPS) : Affhe Oxford handbook of numerical cogective rating of pictures and instruction manual. ISBN-10.1037/t66667-000
   Google Scholar
• Lee, K., & Bull, R. (2016). Developmental changes in working memory, updating, and math achievement. Journal of Educational Psychology, 108(6), 869‑882. doi:10.1037/edu0000090
   PubMed Web of Science ®Google Scholar
• Lee, B., Park, K. S., Kang, D.-H., Kang, K. W., Kim, Y. Y., & Kwon, J. S. (2007). Generators of the gamma-band activities in response to rare and novel stimuli during the auditory oddball paradigm. Neuroscience Letters, 413(3), 210‑215. doi:10.1016/j.neulet.2006.11.066
   Web of Science ®Google Scholar
• LeFevre, J.-A., Greenham, S. L., & Waheed, N. (1993). The development of procedural and conceptual knowledge in computational estimation. Cognition and Instruction, 11(2), 95‑132. doi:10.1207/s1532690xci1102_1
   Web of Science ®Google Scholar
• LeFevre, J.-A., Lei, Q., Smith-Chant, B. L., & Mullins, D. B. (2001). Multiplication by eye and by ear for Chinese-speaking and English-speaking adults. Canadian Journal of Experimental Psychology/Revue Canadienne de Psychologie Expérimentale, 55(4), 277‑284. doi:10.1037/h0087374
   PubMed Web of Science ®Google Scholar
• Lemaire, P. (1996). The role of working memory resources in simple cognitive arithmetic. European Journal of Cognitive Psychology, 8(1), 73‑104. doi:10.1080/095414496383211
   Google Scholar
• Lemaire, P., Arnaud, L., & Lecacheur, M. (2004). Adults’ age-related Differences in adaptivity of strategy choices: Evidence from computational estimation. Psychology and Aging, 19(3), 467‑481. doi:10.1037/0882-7974.19.3.467
   PubMed Web of Science ®Google Scholar
• Lemaire, P., Barrett, S. E., Fayol, M., & Abdi, H. (1994). Automatic activation of addition and multiplication facts in elementary school children. Journal of Experimental Child Psychology, 57(2), 224‑258. doi:10.1006/jecp.1994.1011
   Web of Science ®Google Scholar
• Lemaire, P., & Lecacheur, M. (2010). Strategy switch costs in arithmetic problem solving. Memory & Cognition, 38(3), 322‑332. doi:10.3758/MC.38.3.322
   PubMed Web of Science ®Google Scholar
• Lemaire, P., & Leclère, M. (2014). Strategy repetition in young and older adults: A study in arithmetic. Developmental Psychology, 50(2), 460‑468. doi:10.1037/a0033527
   PubMed Web of Science ®Google Scholar
• Masson, R., & Bidet-Caulet, A. (2019). Fronto-central P3a to distracting sounds: An index of their arousing properties. NeuroImage, 185, 164‑180. doi:10.1016/j.neuroimage.2018.10.041
   PubMed Web of Science ®Google Scholar
• Mauro, D. G., LeFevre, J.-A., & Morris, J. (2003). Effects of problem format on division and multiplication performance: Division facts are mediated via multiplication-based representations. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(2), 163‑170. doi:10.1037/0278-7393.29.2.163
   PubMed Web of Science ®Google Scholar
• Mevorach, C., Spaniol, M. M., Soden, M., & Galea, J. M. (2016). Age-dependent distractor suppression across the vision and motor domain. Journal of Vision, 16(11), 27. doi:10.1167/16.11.27
   PubMed Web of Science ®Google Scholar
• Nagamatsu, L. S., Carolan, P., Liu-Ambrose, T. Y. L., & Handy, T. C. (2011). Age-related changes in the attentional control of visual cortex: A selective problem in the left visual hemifield. Neuropsychologia, 49(7), 1670‑1678. doi:10.1016/j.neuropsychologia.2011.02.040
   PubMed Web of Science ®Google Scholar
• Peng, P., Namkung, J., Barnes, M., & Sun, C. (2016). A meta-analysis of mathematics and working memory: Moderating effects of working memory domain, type of mathematics skill, and sample characteristics. Journal of Educational Psychology, 108(4), 455‑473. doi:10.1037/edu0000079
   Web of Science ®Google Scholar
• Ratcliff, R. (1979). Group reaction time distributions and an analysis of distribution statistics. Psychological Bulletin, 86(3), 446‑461. doi:10.1037/0033-2909.86.3.446
   PubMed Web of Science ®Google Scholar
• Rossi-Katz, J., & Arehart, K. H. (2009). Message and talker identification in older adults: Effects of task, distinctiveness of the talkers’ voices, and meaningfulness of the competing message. Journal of Speech, Language, and Hearing Research: JSLHR, 52(2), 435‑453. doi:10.1044/1092-4388(2008/07-0243)
   PubMed Web of Science ®Google Scholar
• Schmitz, T. W., Cheng, F. H. T., & De Rosa, E. (2010). Failing to ignore: Paradoxical neural effects of perceptual load on early attentional selection in normal aging. Journal of Neuroscience, 30(44), 14750‑14758. doi:10.1523/JNEUROSCI.2687-10.2010
   Web of Science ®Google Scholar
• Siegler, R. S. (2007). Cognitive variability. Developmental Science, 10(1), 104‑109. doi:10.1111/j.1467-7687.2007.00571.x
   PubMed Web of Science ®Google Scholar
• Talsma, D., Kok, A., & Ridderinkhof, K. R. (2006). Selective attention to spatial and non-spatial visual stimuli is affected differentially by age: Effects on event-related brain potentials and performance data. International Journal of Psychophysiology: Official Journal of the International Organization of Psychophysiology, 62(2), 249‑261. doi:10.1016/j.ijpsycho.2006.04.006
   PubMed Web of Science ®Google Scholar
• Tsvetanov, K. A., Mevorach, C., Allen, H., & Humphreys, G. W. (2013). Age-related differences in selection by visual saliency. Attention, Perception, & Psychophysics, 75(7), 1382‑1394. doi:10.3758/s13414-013-0499-9
   PubMed Web of Science ®Google Scholar
• Tun, P. A., O’Kane, G., & Wingfield, A. (2002). Distraction by competing speech in young and older adult listeners. Psychology and Aging, 17(3), 453‑467. doi:10.1037/0882-7974.17.3.453
   PubMed Web of Science ®Google Scholar
• Uittenhove, K., Burger, L., Taconnat, L., & Lemaire, P. (2015). Sequential difficulty effects during execution of memory strategies in young and older adults. Memory, 23(6), 806‑816. doi:10.1080/09658211.2014.928730
   PubMed Web of Science ®Google Scholar
• Uittenhove, K., & Lemaire, P. (2018). Performance control in numerical cognition : Insights from strategic variations in arithmetic during the life span. In Heterogeneity of function in numerical cognition (pp. 127‑145). Elsevier. 10.1016/B978-0-12-811529-9.00007-8
   Google Scholar
• Van Gerven, P. W. M., Meijer, W. A., Vermeeren, A., Vuurman, E. F., & Jolles, J. (2007). The irrelevant speech effect and the level of interference in aging. Experimental Aging Research, 33(3), 323‑339. doi:10.1080/03610730701319145
   PubMed Web of Science ®Google Scholar
• West, R. L. (1996). An application of prefrontal cortex function theory to cognitive aging. Psychological Bulletin, 120(2), 272‑292. doi:10.1037/0033-2909.120.2.272
   PubMed Web of Science ®Google Scholar
• Zanto, T. P., & Gazzaley, A. (2014). Attention and ageing. In A. C. Nobre, & S. Kastner (Eds.), The Oxford handbook of attention (pp. 927–971). Oxford University Press.
   Google Scholar
• Zbrodoff, N. J. (1995). Why is 9+7 harder than 2+3? Strength and interference as explanations of the problem-size effect. Memory & Cognition, 23(6), 689‑700. doi:10.3758/BF03200922
   PubMed Web of Science ®Google Scholar
• Zbrodoff, N. J., & Logan, G. D. (1990). On the relation between production and verification tasks in the psychology of simple arithmetic. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16(1), 83‑97. doi:10.1037/0278-7393.16.1.83
   Web of Science ®Google Scholar