Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles
Ashish Bastola, Hao Wang, Sayed Pedram Haeri Boroujeni, Julian, Brinkley, Ata Jahangir Moshayedi, Abolfazl Razi

TL;DR
This systematic review examines AI-driven accessibility technologies in autonomous vehicles, highlighting current innovations, challenges, and proposing a comprehensive design framework to enhance inclusivity for users with diverse needs.
Contribution
It provides the first comprehensive review of inclusive HCI in autonomous vehicles and introduces an end-to-end design framework for accessibility across diverse user groups.
Findings
Evaluation of key accessibility technologies like brain-computer interfaces and AR
Review of recent inclusive interface designs by industry leaders
Proposal of a comprehensive framework for accessible vehicle design
Abstract
This paper provides a comprehensive and, to our knowledge, the first review of inclusive human-computer interaction (HCI) within autonomous vehicles (AVs) and human-driven cars with partial autonomy, emphasizing accessibility and user-centered design principles. We explore the current technologies and HCI systems designed to enhance passenger experience, particularly for individuals with accessibility needs. Key technologies discussed include brain-computer interfaces, anthropomorphic interaction, virtual reality, augmented reality, mode adaptation, voice-activated interfaces, haptic feedback, etc. Each technology is evaluated for its role in creating an inclusive in-vehicle environment. Furthermore, we highlight recent interface designs by leading companies and review emerging concepts and prototypes under development or testing, which show significant potential to address diverse…
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Taxonomy
TopicsTransportation and Mobility Innovations · Older Adults Driving Studies · Human-Automation Interaction and Safety
MethodsFocus
