Auptimize: Optimal Placement of Spatial Audio Cues for Extended Reality

Fuente: arXiv
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Autori principali: Cho, Hyunsung, Wang, Alexander, Kartik, Divya, Xie, Emily Liying, Yan, Yukang, Lindlbauer, David
Natura: Preprint
Pubblicazione: 2024
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author Cho, Hyunsung
Wang, Alexander
Kartik, Divya
Xie, Emily Liying
Yan, Yukang
Lindlbauer, David
author_facet Cho, Hyunsung
Wang, Alexander
Kartik, Divya
Xie, Emily Liying
Yan, Yukang
Lindlbauer, David
contents Spatial audio in Extended Reality (XR) provides users with better awareness of where virtual elements are placed, and efficiently guides them to events such as notifications, system alerts from different windows, or approaching avatars. Humans, however, are inaccurate in localizing sound cues, especially with multiple sources due to limitations in human auditory perception such as angular discrimination error and front-back confusion. This decreases the efficiency of XR interfaces because users misidentify from which XR element a sound is coming. To address this, we propose Auptimize, a novel computational approach for placing XR sound sources, which mitigates such localization errors by utilizing the ventriloquist effect. Auptimize disentangles the sound source locations from the visual elements and relocates the sound sources to optimal positions for unambiguous identification of sound cues, avoiding errors due to inter-source proximity and front-back confusion. Our evaluation shows that Auptimize decreases spatial audio-based source identification errors compared to playing sound cues at the paired visual-sound locations. We demonstrate the applicability of Auptimize for diverse spatial audio-based interactive XR scenarios.
format Preprint
id arxiv_https___arxiv_org_abs_2408_09320
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Auptimize: Optimal Placement of Spatial Audio Cues for Extended Reality
Cho, Hyunsung
Wang, Alexander
Kartik, Divya
Xie, Emily Liying
Yan, Yukang
Lindlbauer, David
Human-Computer Interaction
Sound
Audio and Speech Processing
H.5.1; H.5.2; H.5.5
Spatial audio in Extended Reality (XR) provides users with better awareness of where virtual elements are placed, and efficiently guides them to events such as notifications, system alerts from different windows, or approaching avatars. Humans, however, are inaccurate in localizing sound cues, especially with multiple sources due to limitations in human auditory perception such as angular discrimination error and front-back confusion. This decreases the efficiency of XR interfaces because users misidentify from which XR element a sound is coming. To address this, we propose Auptimize, a novel computational approach for placing XR sound sources, which mitigates such localization errors by utilizing the ventriloquist effect. Auptimize disentangles the sound source locations from the visual elements and relocates the sound sources to optimal positions for unambiguous identification of sound cues, avoiding errors due to inter-source proximity and front-back confusion. Our evaluation shows that Auptimize decreases spatial audio-based source identification errors compared to playing sound cues at the paired visual-sound locations. We demonstrate the applicability of Auptimize for diverse spatial audio-based interactive XR scenarios.
title Auptimize: Optimal Placement of Spatial Audio Cues for Extended Reality
topic Human-Computer Interaction
Sound
Audio and Speech Processing
H.5.1; H.5.2; H.5.5
url https://arxiv.org/abs/2408.09320