Publications

Selected peer-reviewed work and public research outputs across accessibility, XR, captions, clinical AI, and audio safety.

Omnidirectional Audio Descriptions in Virtual Reality: A Conceptual Framework for Musical Performances Accessible to Blind and Low-Vision Users

ACM Transactions on Accessible Computing · Journal article

Khang Dang, Grace Burke, Hamdi Korreshi, Sooyeon Lee

A conceptual framework for making VR musical performances more accessible through spatial, view-dependent, and explorative audio descriptions grounded in blind and low-vision perspectives.

2026

Participant Recruitment in Accessibility Research

ASSETS 2025 · Conference paper

Lloyd May, Saad Hassan, Khang Dang, Sooyeon Lee, Oliver Alonzo

A workshop contribution and community-building effort focused on ethical, rigorous, and sustainable participant recruitment in disability and accessibility research.

2025

Personalized Conversational Audio Descriptions in 360° Virtual Reality for Blind and Low-Vision Users

IEEE ISMAR-Adjunct 2025 · Conference demo

Khang Dang, Sooyeon Lee

A Meta Quest demo combining head-pose-based view snapshots, speech recognition, GPT-4o responses, and streamed text-to-speech for on-demand conversational audio description.

2025

Advancing Question-Answering in Ophthalmology With Retrieval-Augmented Generation: Benchmarking Open-Source and Proprietary Large Language Models

Translational Vision Science & Technology · Journal article

Quang Nguyen, Duy-Anh Nguyen, Khang Dang, Siyin Liu, Khai Nguyen, Sophia Y. Wang, Mariya Moosajee, Nikolas Pontikos

A medical AI study evaluating retrieval-augmented generation for ophthalmology question answering across open-source and proprietary large language models.

2025

“Choices? That’s the dream”: Challenges and Opportunities in Non-Speech Information Closed-Captioning

Frontiers in Computer Science · Journal article

Lloyd May, Michael Clemens, Khang Dang, Keita Ohshiro, Sripathi Sridhar, Pauline Wee, Magdalena Fuentes, Sooyeon Lee, Mark Cartwright

A mixed-methods and literature-review study of non-speech information captioning, user agency, professional practice, and future accessible media tools.

2025

Musical Performances in Virtual Reality with Spatial and View-Dependent Audio Descriptions for Blind and Low-Vision Users

ASSETS 2024 · Conference demo

Khang Dang, Sooyeon Lee

A VR accessibility demonstration using spatial audio description and view-dependent description to support orientation and attention in immersive musical performances.

2024

Towards Accessible Musical Performances in Virtual Reality: Designing a Conceptual Framework for Omnidirectional Audio Descriptions

ASSETS 2024 · Conference paper

Khang Dang, Grace Burke, Hamdi Korreshi, Sooyeon Lee

An interview-based study proposing spatial, view-dependent, and explorative audio description strategies for VR musical performances.

2024

Unspoken Sound: Identifying Trends in Non-Speech Audio Captioning on YouTube

CHI 2024 · Conference paper

Lloyd May, Keita Ohshiro, Khang Dang, Sripathi Sridhar, Jhanvi Pai, Magdalena Fuentes, Sooyeon Lee, Mark Cartwright

An exploratory analysis of non-speech information captioning on YouTube and the accessibility gaps created when automated captioning omits sound beyond speech.

2024

Opportunities for Accessible Virtual Reality Design for Immersive Musical Performances for Blind and Low-Vision People

SUI 2023 · Conference paper

Khang Dang, Hamdi Korreshi, Yasir Iqbal, Sooyeon Lee

A mixed-methods study with blind and low-vision participants examining opportunities for accessible VR musical performances.

2023

Augmented Hearing of Auditory Safety Cues for Construction Workers: A Systematic Literature Review

Sensors · Journal article

Khang Dang, Kehinde Elelu, Tuyen Le, Chau Le

A review of acoustic signal processing and auditory situational awareness for construction safety, motivating AI-supported hearing protection and hazard detection.

2022

A Novel Audio-Based Machine Learning Model for Automated Detection of Collision Hazards at Construction Sites

ISARC 2020 · Conference paper

Khang Dang, Tuyen Le

A convolutional-neural-network approach for detecting collision hazards from acoustic signals at construction sites.

2020