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2021 | OriginalPaper | Chapter

Factors Affecting the Sense of Scale in Immersive, Realistic Virtual Reality Space

Authors : Jarosław Andrzejczak, Wiktoria Kozłowicz, Rafał Szrajber, Adam Wojciechowski

Published in: Computational Science – ICCS 2021

Publisher: Springer International Publishing

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Abstract

In this study, we analyze and identify a proper scale value when presenting real world space and everyday objects in immerse VR. We verify the impact of usage of reference points in the form of common objects known to the user such as windows, doors and furniture in the sense of scale in VR. We also analyze user behavior (position, rotation, movement, area of interest and such) in the scale setting task. Finally, we propose optimal scale values for single objects presentation, architectural space with many points of references and a large scale space with less to no points of reference. The experiments were conducted on two groups: the Experts (architects) and Non-experts (common users) to verify the translation of real-world object size analysis skills into the same capacity in the virtual world. Confirmation of the significance of the pre-immersion in VR for a sense of scale accuracy is also described.

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next chapter Capsule Network Versus Convolutional Neural Network in Image Classification
Footnotes
1
Pre-immersion - the user’s sense of immersion in digital reality and separating him from the real world extended by the possibility of earlier experiences of a fragment or the whole of the virtual world through its representation in the real world.
 
2
All of the Confidence Intervals (CI) for all of the experiments shown in this study were calculated for p = 0,05. Therefore, we will omit that information in a later description writing just CI value.
 
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Metadata
Title
Factors Affecting the Sense of Scale in Immersive, Realistic Virtual Reality Space
Authors
Jarosław Andrzejczak
Wiktoria Kozłowicz
Rafał Szrajber
Adam Wojciechowski
Copyright Year
2021
Book
Computational Science – ICCS 2021

Print ISBN: 978-3-030-77976-4

Electronic ISBN: 978-3-030-77977-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-77977-1_1

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