Towards Safer Mixed Reality with Auditory Warnings for Uncontrolled Indoor Settings

Mixed Reality (MR) applications are increasingly gaining popularity across various sectors, making user safety crucial, as distractions from augmented and virtual content can cause injuries. Native safety features such as user-defined Guardian boundaries offer limited protection in controlled indoor settings. While limited research has been done to address safety in dynamic uncontrolled environments, we propose a novel method providing verbal feedback to help users safely navigate uncontrolled indoor settings. Our proposed approach achieved a mean accuracy of 93.64% with an average latency of 380 ms; thus demonstrating promising results for ensuring safety in MR interactions.

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Publication Details

Published
2025-03-08
DOI
https://doi.org/10.1109/vrw66409.2025.00071
Citations
1
Primary Topic
Augmented Reality Applications
Type
article
Field-Weighted Citation Impact
1.28
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Towards Safer Mixed Reality with Auditory Warnings for Uncontrolled Indoor Settings

Sahidul Islam, Rifatul Islam, N. Ahmed, Taeyeong Choi et al.
1 citations
Augmented Reality Applications
1.28
article

Towards Safer Mixed Reality with Auditory Warnings for Uncontrolled Indoor Settings

Sahidul Islam, Rifatul Islam, N. Ahmed, Taeyeong Choi, Xinyue Zhang
article en
1 citations

Abstract

Mixed Reality (MR) applications are increasingly gaining popularity across various sectors, making user safety crucial, as distractions from augmented and virtual content can cause injuries. Native safety features such as user-defined Guardian boundaries offer limited protection in controlled indoor settings. While limited research has been done to address safety in dynamic uncontrolled environments, we propose a novel method providing verbal feedback to help users safely navigate uncontrolled indoor settings. Our proposed approach achieved a mean accuracy of 93.64% with an average latency of 380 ms; thus demonstrating promising results for ensuring safety in MR interactions.

Kennesaw State University (US)
Climate action
Openalex Percentile: Top 21%
Augmented Reality Applications
1.28
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