Literature DB >> 31972540

How Much of What We Learn in Virtual Reality Transfers to Real-World Navigation?

Lukas Hejtmanek1,2, Michael Starrett2,3,4, Emilio Ferrer3, Arne D Ekstrom2,3,4.   

Abstract

Past studies suggest that learning a spatial environment by navigating on a desktop computer can lead to significant acquisition of spatial knowledge, although typically less than navigating in the real world. Exactly how this might differ when learning in immersive virtual interfaces that offer a rich set of multisensory cues remains to be fully explored. In this study, participants learned a campus building environment by navigating (1) the real-world version, (2) an immersive version involving an omnidirectional treadmill and head-mounted display, or (3) a version navigated on a desktop computer with a mouse and a keyboard. Participants first navigated the building in one of the three different interfaces and, afterward, navigated the real-world building to assess information transfer. To determine how well they learned the spatial layout, we measured path length, visitation errors, and pointing errors. Both virtual conditions resulted in significant learning and transfer to the real world, suggesting their efficacy in mimicking some aspects of real-world navigation. Overall, real-world navigation outperformed both immersive and desktop navigation, effects particularly pronounced early in learning. This was also suggested in a second experiment involving transfer from the real world to immersive virtual reality (VR). Analysis of effect sizes of going from virtual conditions to the real world suggested a slight advantage for immersive VR compared to desktop in terms of transfer, although at the cost of increased likelihood of dropout. Our findings suggest that virtual navigation results in significant learning, regardless of the interface, with immersive VR providing some advantage when transferring to the real world.

Entities:  

Year:  2020        PMID: 31972540     DOI: 10.1163/22134808-20201445

Source DB:  PubMed          Journal:  Multisens Res        ISSN: 2213-4794            Impact factor:   2.286


  4 in total

Review 1.  Promises and challenges of human computational ethology.

Authors:  Dean Mobbs; Toby Wise; Nanthia Suthana; Noah Guzmán; Nikolaus Kriegeskorte; Joel Z Leibo
Journal:  Neuron       Date:  2021-06-17       Impact factor: 18.688

2.  Older Adults Show Reduced Spatial Precision but Preserved Strategy-Use During Spatial Navigation Involving Body-Based Cues.

Authors:  Andrew S McAvan; Yu Karen Du; Alexis Oyao; Stephanie Doner; Matthew D Grilli; Arne Ekstrom
Journal:  Front Aging Neurosci       Date:  2021-04-12       Impact factor: 5.750

3.  Intuitive assessment of spatial navigation beyond episodic memory: Feasibility and proof of concept in middle-aged and elderly individuals.

Authors:  Sophia Rekers; Michael Niedeggen
Journal:  PLoS One       Date:  2022-09-16       Impact factor: 3.752

4.  Construction Path of Academic English Learning Environment in Colleges and Universities from the Perspective of Education Ecology.

Authors:  Jie Hua
Journal:  J Environ Public Health       Date:  2022-08-25
  4 in total

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