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abstract

The Effect of Virtual Reality Level of Immersion on Spatial Learning Performance and Strategy Usage

Published: 09 October 2023 Publication History

Abstract

The utilization of the immersive and ecological nature of head-mounted displayed (HMD) virtual reality (VR) has been increasing in studies of human spatial learning, and various aspects of VR's impact on navigation have been examined. Nevertheless, the effect the VR level of immersion has on spatial learning strategy usage is yet to be determined. Here, we addressed this gap by comparing spatial learning properties and experience measures in three modality settings. We translated a classic spatial learning task from animals to humans, where three spatial learning strategies were observed (place/cue/response). We compared 3 conditions: wearing a VR headset while physically walking vs. using a controller, and a 2D screen display using a mouse and a keyboard for navigation. We examined various learning properties and used presence questionnaires to analyze experience measures. Our results show that learning measures including strategy usage were affected by the VR level of immersion, suggesting that modality characteristics should be considered during VR task design.

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Donghae Lim, Shizuka Shirai, Jason Orlosky, Photchara Ratsamee, Yuki Uranishi, and Haruo Takemura. 2022. Evaluation of User Interfaces for Three-Dimensional Locomotion in Virtual Reality. In Proceedings of the 2022 ACM Symposium on Spatial User Interaction, ACM, Online CA USA, 1–9.
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Published In

cover image ACM Conferences
VRST '23: Proceedings of the 29th ACM Symposium on Virtual Reality Software and Technology
October 2023
542 pages
ISBN:9798400703287
DOI:10.1145/3611659
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 09 October 2023

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Author Tags

  1. Learning Performance
  2. Level of Immersion
  3. Navigation
  4. Spatial Learning Strategy

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  • Abstract
  • Research
  • Refereed limited

Funding Sources

  • Minducate Science of Learning Research and Innovation Center of the Sagol School of Neuroscience, Tel Aviv University

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VRST 2023

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Overall Acceptance Rate 66 of 254 submissions, 26%

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