Driving Towards Inclusion: A Systematic Review of AI-powered Accessibility Enhancements for People with Disability in Autonomous Vehicles
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Abstract (arXiv)
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 accessibility requirements. Safety considerations, ethical concerns, and adoption of AVs are other major issues that require thorough investigation. Building on these findings, we propose an end-to-end design framework that addresses accessibility requirements across diverse user demographics, including older adults and individuals with physical or cognitive impairments. This work provides actionable insights for designers, researchers, and policymakers aiming to create safer and more comfortable environments in autonomous and regular vehicles accessible to all users.
Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 212 references that are in the map. First posted on arXiv 26 Jan 2024.
Builds on
11 of 212 references.
References · 11
- 2020Audio-driven Talking Face Video Generation with Learning-based Personalized Head Posecited by 92
- 20233DAvatarGAN: Bridging Domains for Personalized Editable Avatarscited by 38
- 2024A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire managementcited by 25
- 2023MAVERIC: A Data-Driven Approach to Personalized Autonomous Drivingcited by 22
- 2018Governing autonomous vehicles: emerging responses for safety, liability, privacy, cybersecurity, and industry riskscited by 21
- 2022Deep Learning Serves Traffic Safety Analysis: A Forward-looking Reviewcited by 13
- 2020Building Trust in Autonomous Vehicles: Role of Virtual Reality Driving Simulators in HMI Designcited by 10
- 2022ProtoSound: A Personalized and Scalable Sound Recognition System for Deaf and Hard-of-Hearing Userscited by 8
- 2023LLM-based Smart Reply (LSR): Enhancing Collaborative Performance with ChatGPT-mediated Smart Reply Systemcited by 8
- 2024Effects of Multimodal Explanations for Autonomous Driving on Driving Performance, Cognitive Load, Expertise, Confidence, and Trustcited by 3
- 2020The Effect of Robo-taxi User Experience on User Acceptance: Field Test Data Analysiscited by 2
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Citing papers per year: 2026: 1.
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- 2026Position: Assistive Agents Need Accessibility Alignment
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- 2022Towards human-compatible autonomous car: A study of non-verbal Turing test in automated driving with affective transition modelling
- 2024Human I/O: Towards a Unified Approach to Detecting Situational Impairments
- 2024Emerging Practices for Large Multimodal Model (LMM) Assistance for People with Visual Impairments: Implications for Design
- 2026"Zooming In" on Agentic Web Browsers as Assistive Technologies: A Case Study with a Low-Vision Technology Expert
- 2025Audo-Sight: Enabling Ambient Interaction For Blind And Visually Impaired Individuals
- 2026Bespoke Visual Assistance: What and How do Blind and Low-Vision People Create with Agentic Programming?