Computer Science > Human-Computer Interaction
[Submitted on 20 Jan 2024 (v1), last revised 26 May 2024 (this version, v2)]
Title:SoundShift: Exploring Sound Manipulations for Accessible Mixed-Reality Awareness
View PDF HTML (experimental)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.
Submission history
From: Anhong Guo [view email][v1] Sat, 20 Jan 2024 02:57:50 UTC (11,296 KB)
[v2] Sun, 26 May 2024 21:44:50 UTC (3,979 KB)
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