Paper Info
Title
Using Spatialized Audio to Improve Human Spatial Knowledge Acquisition in Virtual Reality
Abstract
Picture schematization, the construction of spatial object maps from images, has useful applications ranging from indoor exploration to augmented reality. Since using human spatial knowledge improves schematization, crowdsourcing workflows are introduced for extracting spatial information from pictures. As 360° pictures are now available in virtual reality (VR), crowdsourced 360° picture schematization also becomes essential. Yet, the vergence-accommodation conflict (VAC) in head-mounted displays (HMDs) causes inaccurate spatial perception in VR. We propose integration of spatial audio in VR as a cost-effective and intuitive feature to support spatial perception. This study indicates spatial audio cues in VR are naturally incorporated by humans to significantly improve human spatial knowledge accuracy and, subsequently, crowdsourcing schematization.
Year
DOI
Venue
2018
10.1145/3180308.3180360
COMPANION OF THE 23RD INTERNATIONAL CONFERENCE ON INTELLIGENT USER INTERFACES (IUI'18)
Keywords
Field
DocType
Spatial memory, virtual reality, spatial audio, crowdsourcing, picture schematization(1)
Spatial analysis,Virtual reality,Crowdsourcing,Computer science,Spatial perception,Augmented reality,Human–computer interaction,Spatial knowledge,Multimedia,Workflow
Conference
ISBN
Citations 
PageRank 
978-1-4503-5571-1
1
0.36
References 
Authors
2
2
Name
Order
Citations
PageRank
Seraphina Yong110.36
Hao-Chuan Wang229645.80