Evidence map›Paper›PMID 32939682›Full record

ArticleBehavior research methods2021

Landmarks: A solution for spatial navigation and memory experiments in virtual reality.

Michael J Starrett, Andrew S McAvan, Derek J Huffman, Jared D Stokes, Colin T Kyle, Dana N Smuda, Branden S Kolarik, Jason Laczko, Arne D Ekstrom

Abstract read
In one paragraph

Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  13. Age differences in spatial memory are mitigated during naturalistic navigation.Neuropsychology, development, and cognition. Section B, Aging, neuropsychology and cognition · 2024
    Article
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  17. An In-depth Exploration of the Interplay between fMRI Methods and Theory in Cognitive Neuroscience.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2024
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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

9 authors.

Michael J StarrettDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ, 85721, USA. mjstarrett@gmail.com.ORCID 0000-0002-1746-2688
Andrew S McAvanDepartment of Psychology, University of Arizona, 1503 E. University Blvd, Tucson, AZ, 85721, USA.
Derek J HuffmanDepartment of Psychology, Colby College, Waterville, ME, USA.
Jared D StokesDepartment of Psychology and Center for Neuroscience, University of California, Davis, CA, USA.
Colin T KyleDepartment of Psychology and Center for Neuroscience, University of California, Davis, CA, USA.
Dana N SmudaDepartment of Psychology and Center for Neuroscience, University of California, Davis, CA, USA.
Branden S KolarikDepartment of Psychology and Center for Neuroscience, University of California, Davis, CA, USA.
Jason LaczkoBrickOvenGames, Sunnyvale, CA, USA.
Arne D EkstromDepartment of Psychology; Evelyn F. McKnight Brain Institute, University of Arizona, Tucson, AZ, USA.

Funding

Representation of spatiotemporal information in human episodic memory and navigationR01NS076856 · NINDS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI ARNE D EKSTROM · 2012 to 2026
$4.8M
Determining the effects of encoding conditions on spatial representations in the human brainF32MH116577 · NIMH · UNIVERSITY OF CALIFORNIA AT DAVIS · PI HUFFMAN, DEREK JAMES · 2018 to 2019
$123k
NIMH NIH HHS F32 MH116577NINDS NIH HHS R01 NS076856
6 · The paper itself

Abstract

Research into the behavioral and neural correlates of spatial cognition and navigation has benefited greatly from recent advances in virtual reality (VR) technology. Devices such as head-mounted displays (HMDs) and omnidirectional treadmills provide research participants with access to a more complete range of body-based cues, which facilitate the naturalistic study of learning and memory in three-dimensional (3D) spaces. One limitation to using these technologies for research applications is that they almost ubiquitously require integration with video game development platforms, also known as game engines. While powerful, game engines do not provide an intrinsic framework for experimental design and require at least a working proficiency with the software and any associated programming languages or integrated development environments (IDEs). Here, we present a new asset package, called Landmarks, for designing and building 3D navigation experiments in the Unity game engine. Landmarks combines the ease of building drag-and-drop experiments using no code, with the flexibility of allowing users to modify existing aspects, create new content, and even contribute their work to the open-source repository via GitHub, if they so choose. Landmarks is actively maintained and is supplemented by a wiki with resources for users including links, tutorials, videos, and more. We compare several alternatives to Landmarks for building navigation experiments and 3D experiments more generally, provide an overview of the package and its structure in the context of the Unity game engine, and discuss benefits relating to the ongoing and future development of Landmarks.

Indexed as

Spatial NavigationVideo GamesVirtual RealityCognitionHumansSoftwareLearningMemoryNavigationSpatial cognitionUnityVirtual reality

Identifiers

PMID32939682
PMCPMC8007414

What OpenQuestion holds

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LicenceCC BY
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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.