NavWell: A simplified virtual-reality platform for spatial navigation and memory experiments.


Journal

Behavior research methods
ISSN: 1554-3528
Titre abrégé: Behav Res Methods
Pays: United States
ID NLM: 101244316

Informations de publication

Date de publication:
06 2020
Historique:
pubmed: 23 10 2019
medline: 15 12 2020
entrez: 23 10 2019
Statut: ppublish

Résumé

Being able to navigate, recall important locations, and find the way home are critical skills, essential for survival for both humans and animals. These skills can be examined in the laboratory using the Morris water maze, often considered the gold standard test of animal navigation. In this task, animals are required to locate and recall the location of an escape platform hidden in a pool filled with water. Because animals can not see the platform directly, they must use various landmarks in the environment to escape. With recent advances in technology and virtual reality (VR), many tasks originally used in the animal literature can now be translated for human studies. The virtual water maze task is no exception. However, a number of issues are associated with these mazes, including cost, lack of flexibility, and lack of standardization in terms of experimental designs and procedures. Here we present a virtual water maze system (NavWell) that is readily downloadable and free to use. The system allows for the easy design of experiments and the testing of participants on a desktop computer or fully immersive VR environment. The data from four independent experiments are presented in order to validate the software. From these experiments, a set of procedures for use with a number of well-known memory tests is suggested. This potentially can help with the standardization of navigational research and with navigational testing in the clinic or in an educational environment. Finally, we discuss the limitations of the software and plans for its development and future use.

Identifiants

pubmed: 31637666
doi: 10.3758/s13428-019-01310-5
pii: 10.3758/s13428-019-01310-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1189-1207

Auteurs

Sean Commins (S)

Department of Psychology, Maynooth University, County Kildare, Ireland. Sean.Commins@nuim.ie.

Joseph Duffin (J)

Department of Computer Science, Maynooth University, County Kildare, Ireland.

Keylor Chaves (K)

Department of Computer Science, Maynooth University, County Kildare, Ireland.

Diarmuid Leahy (D)

Department of Computer Science, Maynooth University, County Kildare, Ireland.

Kevin Corcoran (K)

Department of Computer Science, Maynooth University, County Kildare, Ireland.

Michelle Caffrey (M)

Department of Psychology, Maynooth University, County Kildare, Ireland.

Lisa Keenan (L)

Department of Psychology, Maynooth University, County Kildare, Ireland.

Deirdre Finan (D)

Department of Computer Science, Maynooth University, County Kildare, Ireland.

Conor Thornberry (C)

Department of Psychology, Maynooth University, County Kildare, Ireland.

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