Evidence map›Paper›PMID 39930086›Full record

ArticleMemory & cognition2025

Cost avoidance underlies decisions to use prospective memory reminders.

B Hunter Ball, Phil Peper

Abstract read
In one paragraph

Article in Memory & cognition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

B Hunter BallDepartment of Psychology, University of Texas at Arlington, 501 Nedderman Drive, Arlington, TX, 76109, USA. Hunter.Ball@uta.edu.
Phil PeperDepartment of Psychology, University of Texas at Arlington, 501 Nedderman Drive, Arlington, TX, 76109, USA.

Funding

Using Cognitive Offloading to Mitigate Age-Related Declines in Prospective MemoryR16GM146705 · NIGMS · UNIVERSITY OF TEXAS ARLINGTON · PI BALL, BRETT HUNTER · 2022 to 2025
$890k
NIGMS NIH HHS R16 GM146705NIGMS NIH HHS R16GM146705
6 · The paper itself

Abstract

Recent evidence suggests that offloading demands on to external sources can improve the remembering of future plans (i.e., prospective memory). The purpose of the current study was to better understand the mechanisms by which participants choose to offload prospective memory demands. Participants formed the intention to later respond to either one (low load) or four (high load) prospective memory targets with or without the use of reminders. During reminder trials, participants could press the "reminder" key to be shown the learned targets in a "lookup table." The frequency of reminder checking was used to index the willingness to rely on external sources to support remembering. The utility of reminder checking was manipulated by varying the number of distractors presented in the lookup table (Experiment 1), implementing a time penalty for checking the table (Experiment 2), and explicitly describing the effectiveness of using reminders (Experiment 3). The results consistently showed that participants checked reminders more frequently under high memory load (i.e., four targets). Moreover, participants checked reminders less frequently when the costs associated with doing so increased (Experiments 2 and 3). However, confidence in one's own memory ability was not associated with checking frequency. These findings suggest that participants choose to offload, at least in part, to reduce the time or effort to complete the task.

Indexed as

Decision MakingMemory, EpisodicAdultFemaleHumansIntentionMaleYoung AdultEffortMetacognitionOffloadingProspective memoryReminders

Identifiers

PMID39930086
PMCPMC12305806

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.