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Convention Paper

Perceptual Evaluation in varying Levels of Acoustic Detail in Multimodal Virtual Reality

Authors: Zhao, Haowen; Murphy, Damian

Convention Paper · Paper 10211 · May 2025

Abstract

In multimodal Virtual Reality (VR) systems, perceived sound quality is influenced by factors such as cognitive load and the level of user interaction. However, limited research has explored the effects of varying acoustic detail in VR environments. This study investigates the perceptual differences in acoustic rendering with reduced and full-detail conditions in VR. Through an ABX listening test utilizing the Freeverb algorithm, we find that training significantly enhances perceptual accuracy, particularly in immersive environments, while untrained participants are more affected by cognitive demands. These findings suggest that reducing acoustic detail can be a viable strategy for optimizing computational resources without compromising the overall user experience in VR systems.

Details

AES Convention
158
Paper number
10211
Publication date
May 12, 2025
Affiliation
AudioLab, University of York (See document for exact affiliation information.)
Type
Convention Paper