Evidence map›Paper›PMID 30105553›Full record

ArticlePsychonomic bulletin & review2019

Estimation in self-initiated working memory for spatial locations.

Hagit Magen, Tatiana Aloi Emmanouil

Abstract read
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In one paragraph

Article in Psychonomic bulletin & review, 2019. 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.

Hagit MagenThe Hebrew University, PO Box 24026, Mount Scopus, 91240, Jerusalem, Israel. msmagen@mail.huji.ac.il.
Tatiana Aloi EmmanouilBaruch College and the Graduate Center of the City University of New York, New York, NY, USA.

Funding

The Israel Science Foundation 771/12
6 · The paper itself

Abstract

The short-term maintenance of precise location information is fundamental in many daily activities. Often, individuals memorize spatial information provided to them, but in many other occasions memory is self-initiated, meaning that individuals memorize locations they selected themselves. While prevalent in everyday behavior, research on self-initiated working memory (WM) is scarce. The current study employed a modified spatial precision memory task in which participants temporarily memorized single locations they themselves selected within a square area that appeared during encoding. We explored the distribution of locations participants selected, guided by the assumption that participants would select locations that they perceived would maximize accuracy. The results of two experiments demonstrated that, to enhance memory performance, participants most often selected prototypical locations within the square area, namely, at its center and at its corners, which were closest to the center and the corners of the entire screen. When asked to disrupt memory performance, participants mostly avoided these locations. Furthermore, memory accuracy for self-initiated locations was superior to memory for provided locations, even when the distribution of locations in the two conditions was matched. We interpret the results within the framework of models that emphasize the utility of spatial categories in maximizing memory accuracy in spatial-estimation tasks. The results provide the first illustration of self-initiated representations in spatial precision WM tasks, suggesting that participants have access to metacognitive knowledge about the usefulness of spatial categories in location memory. Moreover, the results demonstrate that spatial precision is enhanced when participants reproduce locations they selected themselves.

Indexed as

Choice BehaviorMemory, Short-TermSpatial MemoryAdultFemaleHumansMaleSpace PerceptionMemory biasesSelf-initiationSpatial memoryVisual working memory

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Registered trials

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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.