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“Not There Yet”: Feasibility and Challenges of Mobile Sound Recognition to Support Deaf and Hard-of-Hearing People

Jeremy Zhengqi Huang, Hriday Chhabria, Dhruv Jain

202316 citationsDOI

Abstract

While recent advances have enabled mobile sound recognition tools for deaf and hard of hearing (DHH) people, these tools have only been studied in the lab or through short, controlled experiments. To assess the real-world feasibility and guide the future designs of mobile sound awareness systems, we conducted a three-week field study of SoundWatch, a smartwatch-based sound recognition app, with 10 DHH participants. Our findings suggest the app's utility in increasing environmental awareness and facilitating everyday tasks for DHH users. However, several challenges, such as background noises, variability of real-world sounds, and confusion among similar sounding sounds, indicated that mobile sound recognition solutions are “not there yet” for adoption and use in daily life. We close by presenting HCI design opportunities to improve model reliability by increasing contextual awareness, supporting end-user customization, and fostering the collective improvement of sound recognition models.

Topics & Concepts

PersonalizationComputer scienceHuman–computer interactionSound (geography)ConfusionMobile deviceSpeech recognitionSound localizationMultimediaPsychologyWorld Wide WebPsychoanalysisGeomorphologyNeuroscienceGeologyTactile and Sensory InteractionsMusic and Audio ProcessingSpeech and Audio Processing
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