NDLI: The effects of immersion and body-based rotation on learning multi-level indoor virtual environments

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The effects of immersion and body-based rotation on learning multi-level indoor virtual environments

Content Provider	ACM Digital Library
Author	Giudice, Nicholas A. Li, Hengshan
Abstract	The goal of this study was to investigate how the immersion level of virtual environments (HMD vs. desktop) and rotation method (physical vs. imagined) affects wayfinding performance in multi-story virtual buildings and the development of multi-level cognitive maps. Twelve participants learned multi-level virtual buildings using three VE conditions (physical rotation HMD, physical rotation desktop and imagined rotation desktop). They were then tested on four cross-level tasks, including: pointing, route navigation, vertical navigation, and paper-based drilling. Results showed that performance on between-floor trials was reliably worse than for within-floor trials and that this difference was neither improved by the level of immersion of the display nor the rotation behavior used during navigation. Our data suggest that increasing the fidelity of these interface variables does not yield more accurate development of multi-level cognitive maps. Indeed, multi-level indoor wayfinding performance was as effective with the simplest and least expensive desktop display based purely on joystick navigation as the more complex VE platforms. These findings show that spatial cognition research in multi-level virtual buildings need not be limited to immersive VEs with physical body rotation which require considerable equipment cost and increased technical complexity.
Starting Page	8
Ending Page	15
Page Count	8
File Format	PDF
ISBN	9781450325264
DOI	10.1145/2533810.2533811
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2013-11-05
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Indoor wayfinding Multi-level cognitive map Immersive virtual environments Body-based rotation
Content Type	Text
Resource Type	Article

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