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

  • University College London

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

External Human-Machine Interfaces (eHMIs) have been proposed to facilitate communication between Automated Vehicles (AVs) and pedestrians. However, no attention was given to Deaf and Hard-of-Hearing (DHH) people. We conducted a formative study through focus groups with 6 DHH people and 6 key stakeholders (including researchers, assistive technologists, and automotive interface designers) to compare proposed eHMIs and extract key design requirements. Subsequently, we investigated the effects of visual and auditory eHMI in a virtual reality user study with 32 participants (16 DHH). Results from our scenario suggesting that (1) DHH participants spent more time looking at the AV; (2) both visual and auditory eHMIs enhanced trust, usefulness, and perceived safety; and (3) only visual eHMIs reduced the time to step into the road, time looking at the AV, gaze time, and percentage looking at active visual eHMI components. Lastly, we provided five practical implications for making eHMI inclusive of DHH people.
Original languageEnglish
Title of host publicationCHI conference on Human Factors in Computing Systems
Place of PublicationBarcelona, Spain
PublisherAssociation for Computing Machinery (ACM)
Number of pages21
ISBN (Electronic)9798400722783
DOIs
Publication statusPublished (VoR) - 13 Apr 2026

Funding

Royal Society (RG\R1\241114)

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