Sound Unblending: Exploring Sound Manipulations for Accessible Mixed-Reality Awareness
CoRR(2024)
摘要
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
proposed Sound Unblending for increasing MR sound awareness, which includes six
sound manipulations: Ambience Builder, Feature Shifter, Earcon Generator,
Prioritizer, Spatializer, and Stylizer. To evaluate the effectiveness of sound
unblending, 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 sound unblending increased MR sound
awareness and minimized cognitive load. Finally, we developed three real-world
example applications to demonstrate the practicality of sound unblending.
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