Evidence map›Paper›PMID 37038031›Full record

ReviewPsychonomic bulletin & review2023

Statistically Optimal Cue Integration During Human Spatial Navigation.

Phillip M Newman, Yafei Qi, Weimin Mou, Timothy P McNamara

Open access · bronzeAbstract readReview
PubMed Publisher
In one paragraph

Review in Psychonomic bulletin & review, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
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  3. Article
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  5. Article
  6. Locomotion-dependent use of geometric and body cues in humans mapping 3D space.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Theta Activity Supports Landmark-Based Correction of Naturalistic Human Path Integration.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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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

4 authors at 2 institutions in 2 countries.

Phillip M NewmanDepartment of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37240, USA. phillip.m.newman@vanderbilt.edu.
Yafei QiDepartment of Psychology, P-217 Biological Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Weimin MouDepartment of Psychology, P-217 Biological Sciences Building, University of Alberta, Edmonton, Alberta, T6G 2R3, Canada.
Timothy P McNamaraDepartment of Psychology, Vanderbilt University, 301 Wilson Hall, 111 21st Avenue South, Nashville, TN, 37240, USA.
University of Alberta · CAVanderbilt University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In 2007, Cheng and colleagues published their influential review wherein they analyzed the literature on spatial cue interaction during navigation through a Bayesian lens, and concluded that models of optimal cue integration often applied in psychophysical studies could explain cue interaction during navigation. Since then, numerous empirical investigations have been conducted to assess the degree to which human navigators are optimal when integrating multiple spatial cues during a variety of navigation-related tasks. In the current review, we discuss the literature on human cue integration during navigation that has been published since Cheng et al.'s original review. Evidence from most studies demonstrate optimal navigation behavior when humans are presented with multiple spatial cues. However, applications of optimal cue integration models vary in their underlying assumptions (e.g., uninformative priors and decision rules). Furthermore, cue integration behavior depends in part on the nature of the cues being integrated and the navigational task (e.g., homing versus non-home goal localization). We discuss the implications of these models and suggest directions for future research.

Indexed as

CuesSpatial NavigationBayes TheoremHumansLoss functionsOptimal cue integrationPriorsSpatial cues

Identifiers

PMID37038031
OpenAlexW4363672877

What OpenQuestion holds

Textmetadata
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.