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

要旨

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.

受賞
Honorable Mention
著者
Wenge Xu
Birmingham City University, Birmingham, United Kingdom
Foroogh Hajiseyedjavadi
Birmingham City University, Birmingham, West Midlands, United Kingdom
Kurtis Weir
Birmingham City University, Wolverhampton, West Midlands, United Kingdom
Chukwuemeka Eze
Birmingham City University, Birmingham, -Select-, United Kingdom
Mark Colley
UCL Interaction Centre, London, United Kingdom
動画

会議: CHI 2026

ACM CHI Conference on Human Factors in Computing Systems

セッション: Context-aware Interfaces for Mobility & Automation

P1 - Room 130
7 件の発表
2026-04-16 18:00:00
2026-04-16 19:30:00