Literature DB >> 35386055

Distinct monitoring strategies underlie costs and performance in prospective memory.

Seth R Koslov1, Landry S Bulls2, Jarrod A Lewis-Peacock3.   

Abstract

Prospective memory (PM) describes the ability to remember to perform goal-relevant actions at an appropriate time in the future amid concurrent demands. A key contributor to PM performance is thought to be the effortful monitoring of the environment for PM-related cues, a process whose existence is typically inferred from a behavioral interference measure of reaction times. This measure, referred to as "PM costs," is an informative but indirect proxy for monitoring, and it may not be sufficient to understand PM behaviors in all situations. In this study, we asked participants to perform a visual search task with arrows that varied in difficulty while concurrently performing a delayed-recognition PM task with pictures of faces and scenes. To gain a precise measurement of monitoring behavior, we used eye-tracking to record fixations to all task-relevant stimuli and related these fixation measures to both PM costs and PM accuracy. We found that PM costs reflected dissociable monitoring strategies: higher costs were associated with early and frequent monitoring while lower costs were associated with delayed and infrequent monitoring. Moreover, the link between fixations and PM costs varied with cognitive load, and the inclusion of fixation data yielded better predictions of PM accuracy than using PM costs alone. This study demonstrates the benefit of eye-tracking to disentangle the nature of PM costs and more precisely describe strategies involved in prospective remembering.
© 2022. The Author(s).

Entities:  

Keywords:  Attention; Eye movements; Memory; Prospective memory

Year:  2022        PMID: 35386055     DOI: 10.3758/s13421-022-01275-5

Source DB:  PubMed          Journal:  Mem Cognit        ISSN: 0090-502X


  34 in total

1.  Let it go: the flexible engagement and disengagement of monitoring processes in a non-focal prospective memory task.

Authors:  Anna-Lisa Cohen; Aliza Gordon; Alexander Jaudas; Carmen Hefer; Gesine Dreisbach
Journal:  Psychol Res       Date:  2016-01-28

2.  The role of dual-task and task-switch in prospective memory: behavioural data and neural correlates.

Authors:  Patrizia S Bisiacchi; Sami Schiff; Alessia Ciccola; Matthias Kliegel
Journal:  Neuropsychologia       Date:  2009-02-02       Impact factor: 3.139

3.  Multitasking as a choice: a perspective.

Authors:  Laura Broeker; Roman Liepelt; Edita Poljac; Stefan Künzell; Harald Ewolds; Rita F de Oliveira; Markus Raab
Journal:  Psychol Res       Date:  2017-10-30

4.  The Psychophysics Toolbox.

Authors:  D H Brainard
Journal:  Spat Vis       Date:  1997

Review 5.  Toward a better understanding of costs in prospective memory: A meta-analytic review.

Authors:  Francis T Anderson; Michael J Strube; Mark A McDaniel
Journal:  Psychol Bull       Date:  2019-08-29       Impact factor: 17.737

6.  I see you remembering: what eye movements can reveal about process characteristics of prospective memory.

Authors:  Josephine Hartwig; Katharina M Schnitzspahn; Matthias Kliegel; Boris M Velichkovsky; Jens R Helmert
Journal:  Int J Psychophysiol       Date:  2013-04-06       Impact factor: 2.997

7.  The variable nature of cognitive control: a dual mechanisms framework.

Authors:  Todd S Braver
Journal:  Trends Cogn Sci       Date:  2012-01-12       Impact factor: 20.229

8.  Proactive control processes in event-based prospective memory: Evidence from intraindividual variability and ex-Gaussian analyses.

Authors:  B Hunter Ball; Gene A Brewer
Journal:  J Exp Psychol Learn Mem Cogn       Date:  2017-12-14       Impact factor: 3.051

9.  Investigating prospective memory via eye tracking: No evidence for a monitoring deficit in older adults.

Authors:  N Ballhausen; M M Lauffs; M H Herzog; M Kliegel
Journal:  Int J Psychophysiol       Date:  2019-10-23       Impact factor: 2.997

10.  Deficits in cue detection underlie event-based prospective memory impairment in major depression: an eye tracking study.

Authors:  Siyi Chen; Renlai Zhou; Hong Cui; Xinyin Chen
Journal:  Psychiatry Res       Date:  2013-03-07       Impact factor: 3.222

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