SoundWeAR: Co-Designing AR Sound Cues to Support Outdoor Awareness for DHH Individuals

Authors
Anna Surovkova, Tianze Xie, Xinan Yang, Seungwoo Je
Year
2026
Publication
Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)
DOI
10.1145/3772318.3790880

Summary

SoundWeAR investigates how augmented-reality glasses can translate environmental sound into visual cues that support the situational awareness of Deaf and Hard of Hearing (DHH) people in outdoor settings - a context prior work has largely neglected in favour of indoor scenarios like meetings, classrooms, and the home. The authors argue that outdoor soundscapes are dynamic, safety-critical, and require design strategies that convey urgent information (sirens, approaching vehicles) without overwhelming users with visual clutter. The study follows a three-phase participatory design process. First, four co-design workshops paired one DHH participant, one social worker, and one designer per session to explore sound awareness needs and sketch visual representations, using a simulated outdoor walking demo in XREAL Air 2 Ultra AR glasses as a common reference. Insights were synthesised into three design dimensions - Sounds of Interest, Sound Information, and Visualization Preferences - broken into nine directions (identity, urgency, location, distance, loudness, duration, screen layout, overlapping sounds, alert lifecycle). Second, 15 DHH participants selected preferred design options across 27 candidate visualisations via semi-structured interviews or text-based equivalents. Third, the winning combination was implemented as a Unity-based AR prototype and evaluated with eight DHH walkers along a 15-sound university-campus route, with Braun and Clarke thematic analysis applied throughout.

Key Findings

DHH participants prioritised identity, urgency, and location over loudness, duration, and pitch - a reversal of hearing-centric assumptions about what makes a sound important. Color-coded icons (red for safety, blue for informational, green for environmental) were chosen by 13 of 15 participants for identity, and 8 of 15 chose red border alerts for urgency because they drew attention without occluding the field of view. Hybrid location cues (arrows for in-view sounds, a mini-map for rear/distant sounds) were preferred; distance was best conveyed by plain text rather than size scaling. Cognitive load was a strong concern: 10 of 15 participants supported capping simultaneous notifications at three, and short auto-dismiss (2-3 seconds) was preferred for informational cues but felt too fast for safety-critical alerts, which participants wanted to persist until acknowledged. In the outdoor walking evaluation, all eight participants reported increased awareness and a greater sense of safety and confidence without feeling distracted from the real environment. Participants also pushed back on pure third-person views, finding first-person visualisation more reliable for safety-relevant information. Hardware weight and interference with cochlear implants and hearing aids emerged as a real-world barrier.

Relevance to Practice

This paper is directly useful for anyone designing wearable or AR-based accessibility systems for DHH users, especially in outdoor, safety-critical contexts. The nine design dimensions and the concrete preference data behind each (colour-coded icons, red border urgency alerts, text-based distance, capped simultaneous notifications, urgency-scaled alert lifecycle) are actionable input for smart-glasses, smartwatch, and phone-based sound awareness products. The finding that identity and urgency outweigh loudness should shape how audio-to-visual translation pipelines prioritise what to surface. Limitations to keep in mind: all participants had profound or near-profound hearing loss, the evaluation used scripted sound events on a university campus rather than in-the-wild recognition, the sample was small (n=8 in evaluation), and the hardware was visibly bulky - findings may shift with lighter glasses and real-time environmental sound classification.