SoundShift: Exploring Sound Manipulations for Accessible Mixed-Reality Awareness
Ruei-Che Chang, Chia-Sheng Hung, Bing-Yu Chen, Dhruv Jain, Anhong Guo
TL;DR
This work addresses how to make mixed-reality soundscapes accessible to blind and visually impaired users by introducing SoundShift, a framework of six sound manipulators that balance real-world and virtual audio. Grounded in a content-analysis of online forums, the authors design six manipulations and evaluate them in Unity across three MR scenarios with 18 BVI participants, comparing against full transparency and noise cancellation. The study demonstrates that SoundShift improves sound awareness and reduces cognitive load, with scenario-specific trade-offs and strong user feedback for customization. Three real-world prototype applications illustrate SoundShift's practicality and potential to inform future MR accessibility design.
Abstract
Mixed-reality (MR) soundscapes blend real-world sound with virtual audio from hearing devices, presenting intricate auditory information that is hard to discern and differentiate. This is particularly challenging for blind or visually impaired individuals, who rely on sounds and descriptions in their everyday lives. To understand how complex audio information is consumed, we analyzed online forum posts within the blind community, identifying prevailing challenges, needs, and desired solutions. We synthesized the results and propose SoundShift for increasing MR sound awareness, which includes six sound manipulations: Transparency Shift, Envelope Shift, Position Shift, Style Shift, Time Shift, and Sound Append. To evaluate the effectiveness of SoundShift, we conducted a user study with 18 blind participants across three simulated MR scenarios, where participants identified specific sounds within intricate soundscapes. We found that SoundShift increased MR sound awareness and minimized cognitive load. Finally, we developed three real-world example applications to demonstrate the practicality of SoundShift.
