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• Exploring the Impacts of Background Noise on Auditory Stimuli of Audio-Visual eHMIs for Hearing, Deaf, and Hard-of-Hearing People

  Wenge Xu, Foroogh Hajiseyedjavadi, Debargha Dey, Tram Thi Minh Tran, Mark Colley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper investigates a critical but overlooked accessibility question in the design of external Human-Machine Interfaces (eHMIs) for automated vehicles (AVs): how do Deaf and Hard-of-Hearing (DHH) pedestrians experience audio-visual eHMIs, and how does real-world…

  deaf and hard of hearing · external human-machine interface · automated vehicles · pedestrian safety · multimodal interaction

• Towards Inclusive External Human-Machine Interface: Exploring the Effects of Visual and Auditory eHMI for Deaf and Hard-of-Hearing People

  Wenge Xu, Foroogh Hajiseyedjavadi, Kurtis Weir, Chukwuemeka Eze, Mark Colley · 2026 · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems (CHI '26)

  This CHI 2026 paper is a companion to Xu et al. 2026 (10.1145/3772318.3791557) but with a broader, two-stage inclusive-design focus: selecting appropriate visual eHMI concepts for Deaf and Hard-of-Hearing (DHH) pedestrians and then evaluating how visual and auditory eHMIs work…

  deaf and hard of hearing · external human-machine interface · automated vehicles · pedestrian safety · multimodal interaction

• Enhancing Walk-Light Detector Usage for the Visually Impaired: A Comparison of VR Exploration and Verbal Instructions

  Jonggi Hong, James Coughlan · 2024 · Proceedings of the 21st International Web for All Conference (W4A '24)

  This paper from Stevens Institute of Technology and Smith-Kettlewell Eye Research Institute compares two methods for teaching people with visual impairments (PVI) to use a walk-light detector smartphone app at traffic intersections: virtual reality (VR) exploration versus…

  blindness · virtual reality · navigation · camera aiming · pedestrian safety

• Mind Your Crossings: Mining GIS Imagery for Crosswalk Localization

  Dragan Ahmetovic, Roberto Manduchi, James M. Coughlan, Sergio Mascetti · 2017 · ACM Transactions on Accessible Computing (TACCESS)

  This paper presents a computer vision system for automatically detecting and localizing zebra crosswalks in urban environments by mining existing geospatial image databases, specifically Google satellite imagery and Google Street View. The motivation is that blind pedestrians…

  visual impairment · orientation and mobility · computer vision · navigation · crowdsourcing

4 results.