Sonify Anything: Towards Context-Aware Sonic Interactions in AR
Laura Sch\"utz, Sasan Matinfar, Ulrich Eck, Daniel Roth, Nassir Navab

TL;DR
This paper introduces a framework for real-time, context-aware sound synthesis in AR that enhances realism by matching sounds to real object materials during interactions.
Contribution
It presents a novel method using computer vision and physical modeling to generate material-based sounds dynamically in AR environments.
Findings
Material-based sounds increased perceived realism.
Participants distinguished materials more accurately with context-aware sounds.
Enhanced multisensory congruence improved user experience.
Abstract
In Augmented Reality (AR), virtual objects interact with real objects. However, the lack of physicality of virtual objects leads to the absence of natural sonic interactions. When virtual and real objects collide, either no sound or a generic sound is played. Both lead to an incongruent multisensory experience, reducing interaction and object realism. Unlike in Virtual Reality (VR) and games, where predefined scenes and interactions allow for the playback of pre-recorded sound samples, AR requires real-time sound synthesis that dynamically adapts to novel contexts and objects to provide audiovisual congruence during interaction. To enhance real-virtual object interactions in AR, we propose a framework for context-aware sounds using methods from computer vision to recognize and segment the materials of real objects. The material's physical properties and the impact dynamics of the…
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Taxonomy
TopicsTactile and Sensory Interactions · Multisensory perception and integration · Music Technology and Sound Studies
