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Aging and strategic prospective memory monitoring

  • B. Hunter BallEmail author
  • Y. Peeta Li
  • Julie M. Bugg
Article

Abstract

Monitoring the environment for the occurrence of prospective memory (PM) targets is a resource-demanding process that produces cost (e.g., slowing) to ongoing activities. Prior research has shown that older adults are able to monitor strategically, which involves the activation of monitoring when contextually appropriate and deactivation of monitoring when it is not thereby affording conservation of limited-capacity attentional resources. However, the time course and efficiency with which these processes operate with increased age are unknown. In the current study, participants performed an ongoing lexical decision task in which words/nonwords were blocked by font color in sets of ten trials (ten red trials followed by ten blue trials). Importantly, participants were informed that PM targets (“TOR” syllable) would only occur in red trials. Replicating previous work, both younger and older adults were successfully able to disengage monitoring upon encountering the unexpected (i.e., blue) context. However, while younger adults completely disengaged monitoring in the unexpected context, older adults continued to show monitoring across the majority of trials. Additionally, younger, but not older, adults showed a re-engagement of monitoring at the end of the unexpected context in preparation for the upcoming expected context. These findings suggest that while strategic monitoring generally remains intact with increased age, the disengagement and preparatory re-engagement of strategic monitoring may operate less optimally for older adults.

Keywords

Aging Prospective memory Attention Strategic monitoring Context 

Notes

Acknowledgements

B. Hunter Ball was supported by an NIA Training Grant (T32AG000030-40) at Washington University during data collection and writing of portions of this article. We would like to extend a special acknowledgment to Brigida Rusconi and Jihyun Suh for their assistance in previous versions of the manuscript. We also thank Kierra Harris, Christina Rao, and Erica Williams for their assistance in data collection and entry.

Supplementary material

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References

  1. Ball, B. H., & Aschenbrenner, A. J. (2017). The importance of age-related differences in prospective memory: Evidence from diffusion model analyses. Psychonomic Bulletin & Review, 25(3), 1114-1122.Google Scholar
  2. Ball, B. H., & Brewer, G. A. (2018). Proactive control processes in event-based prospective memory: Evidence from intraindividual variability and ex-Gaussian analyses. Journal of Experimental Psychology: Learning, Memory, & Cognition, 44(5), 793.Google Scholar
  3. Ball, B. H., Brewer, G. A., Loft, S., & Bowden, V. (2015). Uncovering continuous and transient monitoring profiles in event-based prospective memory. Psychonomic Bulletin & Review, 22(2), 492-499.Google Scholar
  4. Ball, B. H., & Bugg, J. M. (2018). Aging and the strategic use of context to control prospective memory monitoring. Psychology and Aging, 33(3), 527.PubMedPubMedCentralGoogle Scholar
  5. Ball, B. H., & Bugg, J. M. (2018a). Context cue focality influences strategic prospective memory monitoring. Psychonomic Bulletin & Review, 25(4), 1405-1415.Google Scholar
  6. Balota, D. A., Yap, M. J., Hutchison, K. A., Cortese, M. J., Kessler, B., Loftis, B., ... & Treiman, R. (2007). The English lexicon project. Behavior Research Methods, 39(3), 445-459.Google Scholar
  7. Bowden, V. K., Smith, R. E., & Loft, S. (2017). Eye movements provide insights into the conscious use of context in prospective memory. Consciousness and Cognition, 52, 68-74.PubMedGoogle Scholar
  8. Braver, T. S., & West, R. (2008). Working memory, executive control, and aging. The Handbook of Aging and Cognition, 3, 311-372.Google Scholar
  9. Bugg, J. M. (2014a). Conflict-triggered top-down control: Default mode, last resort, or no such thing? Journal of Experimental Psychology: Learning, Memory, and Cognition, 40, 567-587.PubMedGoogle Scholar
  10. Bugg, J. M. (2014b). Evidence for the sparing of reactive cognitive control with age. Psychology and Aging, 29(1), 115.PubMedGoogle Scholar
  11. Bugg, J. M., & Ball, B. H. (2017). The strategic control of prospective memory monitoring in response to complex and probabilistic contextual cues. Memory & Cognition, 1-21.Google Scholar
  12. Cohen, A. L., Jaudas, A., Hirschhorn, E., Sobin, Y., & Gollwitzer, P. M. (2012). The specificity of prospective memory costs. Memory, 20(8), 848-864.PubMedGoogle Scholar
  13. Faust, M. E., Balota, D. A., Spieler, D. H., & Ferraro, F. R. (1999). Individual differences in information-processing rate and amount: implications for group differences in response latency. Psychological Bulletin, 125(6), 777.PubMedGoogle Scholar
  14. Guynn, M.J. (2003). A two-process model of strategic monitoring in event-based prospective memory: Activation/retrieval mode and checking. International Journal of Psychology, 38, 245–256.Google Scholar
  15. Hasher, L., & Zacks, R. T. (1988). Working memory, comprehension, and aging: A review and a new view. Psychology of Learning and Motivation, 22, 193-225.Google Scholar
  16. Heathcote, A., Loft, S., & Remington, R. W. (2015). Slow down and remember to remember! A delay theory of prospective memory costs. Psychological Review, 122(2), 376.Google Scholar
  17. Horn, S. S., & Bayen, U. J. (2015). Modeling criterion shifts and target checking in prospective memory monitoring. Journal of Experimental Psychology: Learning, Memory, and Cognition, 41(1), 95.PubMedGoogle Scholar
  18. Horn, S. S., Bayen, U. J., & Smith, R. E. (2013). Adult age differences in interference from a prospective-memory task: A diffusion model analysis. Psychonomic Bulletin & Review, 20(6), 1266-1273.Google Scholar
  19. Kliegel, M., Jäger, T., & Phillips, L. H. (2008). Adult age differences in event-based prospective memory: A meta-analysis on the role of focal versus nonfocal cues. Psychol Aging, 23, 203–208.PubMedGoogle Scholar
  20. Knight, J. B., Meeks, J. T., Marsh, R. L., Cook, G. I., Brewer, G. A., & Hicks, J. L. (2011). An observation on the spontaneous noticing of prospective memory event-based cues. Journal of Experimental Psychology: Learning, Memory, and Cognition, 37(2), 298.PubMedGoogle Scholar
  21. Kominsky, T. K., & Reese-Melancon, C. (2017). Effects of context expectation on prospective memory performance among older and younger adults. Memory, 25(1), 122-131.PubMedGoogle Scholar
  22. Kuhlmann, B. G., & Rummel, J. (2014). Context-specific prospective-memory processing: Evidence for flexible attention allocation adjustments after intention encoding. Memory & Cognition, 42(6), 943-949.Google Scholar
  23. Lourenço, J. S., & Maylor, E. A. (2014). Is it relevant? Influence of trial manipulations of prospective memory context on task interference. The Quarterly Journal of Experimental Psychology, 67(4), 687-702.PubMedGoogle Scholar
  24. Lourenço, J. S., White, K., & Maylor, E. A. (2013). Target context specification can reduce costs in nonfocal prospective memory. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(6), 1757.PubMedGoogle Scholar
  25. Lustig, C., Hasher, L., & Zacks, R. T. (2007). Inhibitory deficit theory: Recent developments in a “new view”. Inhibition in cognition, 17, 145-162.Google Scholar
  26. Marsh, R. L., Hicks, J. L., & Cook, G. I. (2006). Task interference from prospective memories covaries with contextual associations of fulfilling them. Memory & Cognition, 34, 1037–1045.Google Scholar
  27. Marsh, R. L., Hicks, J. L., Cook, G. I., Hansen, J. S., & Pallos, A. L. (2003). Interference to ongoing activities covaries with the characteristics of an event-based intention. Journal of Experimental Psychology: Learning, Memory, and Cognition, 29(5), 861.PubMedGoogle Scholar
  28. Meier, B., & Rey-Mermet, A. (2012). Beyond monitoring: After-effects of responding to prospective memory targets. Consciousness and Cognition, 21(4), 1644-1653.PubMedGoogle Scholar
  29. Meier, B., & Rey-Mermet, A. (2018). After-effects without monitoring costs: The impact of prospective memory instructions on task switching performance. Acta Psychologica, 184, 85-99.PubMedGoogle Scholar
  30. Paxton, J. L., Barch, D. M., Racine, C. A., & Braver, T. S. (2008). Cognitive control, goal maintenance, and prefrontal function in healthy aging. Cerebral Cortex, 18(5), 1010-1028.PubMedGoogle Scholar
  31. Rendell, P. G., McDaniel, M. A., Forbes, R. D., & Einstein, G. O. (2007). Age-related effects in prospective memory are modulated by ongoing task complexity and relation to target cue. Aging, Neuropsychology, and Cognition, 14, 236–256.Google Scholar
  32. Scullin, M. K., & Bugg, J. M. (2013). Failing to forget: Prospective memory commission errors can result from spontaneous retrieval and impaired executive control. Journal of Experimental Psychology: Learning, Memory, and Cognition, 39(3), 965.PubMedGoogle Scholar
  33. Shipley, W. C. (1940). A self-administering scale for measuring intellectual impairment and deterioration. The Journal of Psychology, 9, 371 – 377.Google Scholar
  34. Smith, R.E. (2003). The cost of remembering to remember in event-based prospective memory: Investigating the capacity demands of delayed intention performance. Journal of Experimental Psychology: Learning, Memory, & Cognition, 29, 347-361.Google Scholar
  35. Smith, R. E. (2016). Prospective Memory in Context. Psychology of Learning and Motivation, 66, 211-249.Google Scholar
  36. Smith, R. E., Hunt, R. R., McVay, J. C., & McConnell, M. D. (2007). The cost of event-based prospective memory: salient target events. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33(4), 734.PubMedGoogle Scholar
  37. Starns, J. J., & Ratcliff, R. (2010). The effects of aging on the speed–accuracy compromise: Boundary optimality in the diffusion model. Psychology and Aging, 25(2), 377.PubMedPubMedCentralGoogle Scholar
  38. Strickland, L., Elliott, D., Wilson, M. D., Loft, S., Neal, A., & Heathcote, A. (2019). Prospective memory in the red zone: Cognitive control and capacity sharing in a complex, multi-stimulus task. Journal of Experimental Psychology: Applied.Google Scholar
  39. Strickland, L., Loft, S., Remington, R. W., & Heathcote, A. (2018). Racing to remember: A theory of decision control in event-based prospective memory. Psychological Review, 125(6), 851.Google Scholar
  40. Touron, D. R., & Hertzog, C. (2004). Distinguishing age differences in knowledge, strategy use, and confidence during strategic skill acquisition. Psychology and Aging, 19(3), 452.PubMedGoogle Scholar
  41. Uttl, B. (2008). Transparent meta-analysis of prospective memory and aging. PLoS One, 3(2), e1568.PubMedPubMedCentralGoogle Scholar
  42. Uttl, B. (2011). Transparent meta-analysis: does aging spare prospective memory with focal vs. non-focal cues?. PloS One, 6(2), e16618.PubMedPubMedCentralGoogle Scholar
  43. West, R. L. (1996). An application of prefrontal cortex function theory to cognitive aging. Psychological Bulletin, 120(2), 272.PubMedGoogle Scholar
  44. West, R., Murphy, K. J., Armilio, M. L., Craik, F. I., & Stuss, D. T. (2002). Lapses of intention and performance variability reveal age-related increases in fluctuations of executive control. Brain and Cognition, 49(3), 402-419.PubMedGoogle Scholar

Copyright information

© The Psychonomic Society, Inc. 2019

Authors and Affiliations

  • B. Hunter Ball
    • 1
    • 2
    Email author
  • Y. Peeta Li
    • 2
  • Julie M. Bugg
    • 2
  1. 1.Department of PsychologyUniversity of Texas at ArlingtonArlingtonUSA
  2. 2.Department of Psychological and Brain SciencesWashington University in St. LouisSt. LouisUSA

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