Media Multitasking and Memory: What the Numbers Actually Say

MindHeaven® Research DeskEdited by Nikos DrosakisPublished
Moderate evidence
Narrative review and scientific commentary5 min read3 references

Abstract

The claim that heavy media multitasking damages attention and memory circulates widely and is usually supported by little more than intuition. In 2020 a study in Nature put numbers on it, and the numbers are smaller and more interesting than the headlines.

Madore and colleagues recorded brain activity and pupil size while eighty young adults performed memory tasks, and traced a mechanistic chain: attention lapses precede memory failures, and heavier media multitasking is associated with more lapsing.

The authors are explicit that they cannot say which direction the causality runs. That caveat is the difference between what the study shows and what it is usually reported as showing.

1.Catching the Moment Attention Slips

The design's strength is that it measured lapses as they happened rather than inferring them from errors afterwards. Eighty young adults, mean age 21.7, completed a four-hour session combining goal-directed memory tasks with simultaneous EEG and pupillometry.

Two independent physiological signals indexed attention before each trial. Posterior alpha power in the 8 to 12 hertz band was read as a release from top-down inhibitory control, marking reduced preparatory attention. Pupil diameter indexed a separate axis, with reduced diameter reflecting hypoarousal linked to a noradrenergic circuit in the locus coeruleus.

Using two measures with different physiological bases matters. When both point the same way, the finding is unlikely to be an artefact of either method.

2.Lapses Predict Forgetting Before the Material Arrives

The central result concerns timing. Lapses early in a trial — marked by increases in posterior alpha power and decreases in pupil diameter before the goal appeared — predicted a greater likelihood of later memory failure rather than successful remembering.

The statistics: alpha power predicted misses at p below .001, pupil diameter at p equal to .03. The state of attention before the material was even presented predicted whether it would later be recalled.

The authors identify the intervening step. The relationship between pre-goal lapsing and later forgetting was partially explained by the strength of goal coding — a signature in frontal event-related potentials reflecting how well the task goal was held. A lapse degrades the goal representation, and a weakly held goal produces weaker encoding.

That is a mechanism rather than a correlation, and it is the part of the paper we find most valuable. Forgetting something is not primarily a failure of memory. It is often a failure of attention that occurred before the material arrived.

3.What Was Found About Media Multitasking

Heavier self-reported media multitasking was associated with worse memory discriminability across three separate tasks, with correlation coefficients of −.32, −.28 and −.32.

It was also associated with the physiological markers: higher mean alpha power at r = .21 and greater pupil variability at r = .23. And a mediation analysis indicated that the relationship between multitasking and memory was partially explained by differences in sustained attention, measured through commission errors on a continuous performance task.

Those correlations deserve to be read for what they are. A coefficient around −.3 describes a real association that accounts for roughly nine per cent of the variance. Media multitasking is one modest contributor among many to how well someone remembers, not a dominant determinant.

4.The Sentence That Should Accompany Every Report of This Study

The design is cross-sectional. It measured people who differ in how much they multitask and found they also differ in attention and memory. It did not manipulate anything.

The authors state the implication directly: future work using longitudinal designs that can inform causality — whether differences in media multitasking produce differences in attention, or the reverse — will be important.

Both directions are plausible. Heavy multitasking might erode sustained attention. Alternatively, people whose attention wanders more may find single-tasking uncomfortable and gravitate toward switching. A third factor could produce both. Nothing in this dataset distinguishes those accounts.

This is worth insisting on because the study is routinely cited as evidence that phones damage memory. It is evidence that the two travel together in young adults, with a mechanistic account of how the association could work.

5.Other Limits

The sample was eighty young adults aged 18 to 26, so generalisation beyond that group is untested. Media multitasking was self-reported, which introduces the usual problems of recall and self-presentation. The authors describe some of their factor analyses as preliminary given the sample size.

A broader review of media multitasking research in Pediatrics surveyed cognitive, psychological, neural and learning differences associated with the behaviour, and the pattern across that literature is similar: consistent associations, uncertain direction, modest effect sizes.

6.What We Take From It

The mechanistic finding is the durable one and it does not depend on the multitasking question at all. Memory failures are frequently attention failures that happened seconds earlier, and they are visible in the brain before the material to be remembered even appears.

That has a practical implication compatible with the task-switching literature elsewhere in this library: the useful intervention is upstream, on the conditions in which attention is held, rather than downstream on trying to remember harder.

On media multitasking specifically, the honest statement is that heavier multitaskers show more attention lapses and remember less well, that the association is modest, and that nobody yet knows which way it runs.

Editorial Comment

MindHeaven® makes no claim that any product affects attention lapses, memory or the consequences of media use. No supplement was involved in this research.

We have spent much of this article moderating a claim that would be commercially convenient for us. A category selling focus benefits from readers believing their phones have damaged their attention. What the evidence supports is narrower, and saying so is the only reason to trust anything else here.

How to read this article
Moderate evidence

Human studies exist, but are limited in size, population or consistency.

  1. 1.Madore KP, Khazenzon AM, Backes CW, et al. Memory failure predicted by attention lapsing and media multitasking. Nature. 2020;587(7832):87–91. doi:10.1038/s41586-020-2870-z.
  2. 2.Uncapher MR, Wagner AD, et al. Media Multitasking and Cognitive, Psychological, Neural, and Learning Differences. Pediatrics. 2017;140(Suppl 2):S62–S66. doi:10.1542/peds.2016-1758d.
  3. 3.Ralph BCW, Thomson DR, Cheyne JA, Smilek D. Media multitasking and failures of attention in everyday life. Psychological Research. 2014;78(5):661–669. doi:10.1007/s00426-013-0523-7.
Keywords
media multitaskingattention lapsespupillometryposterior alpha powergoal codingepisodic memorymediation analysiscross-sectional designreverse causationevidence appraisal