A scoping review of inclusive and adaptive human–AI interaction design for neurodivergent users
AI-driven interaction design shows strong potential to enhance inclusivity and personalisation for neurodiverse users. Sustained progress requires interdisciplinary collaboration, participatory co-design, and longitudinal evaluation. Ethical principles, particularly fairness, transparency, and accessibility, should guide the development of future AI systems to ensure equitable, evidence-based support.
Authors
- Eric Zhi Feng Liu (ORCID: https://orcid.org/0000-0001-7157-7809)
- Guobin Xia (ORCID: https://orcid.org/0000-0002-0223-0278)
- Yixiang Duan (ORCID: https://orcid.org/0000-0002-2333-4586)
- Luwen Yu (ORCID: https://orcid.org/0000-0002-1664-2230)
- Zhan Xu (ORCID: https://orcid.org/0000-0002-2139-0576)
Institutions
- University of Leeds (GB)
- University of Liverpool (GB)
- Hong Kong University of Science and Technology (HK)
- Heriot-Watt University (GB)
- Heriot-Watt University Malaysia (MY)
- University of Hong Kong (HK)
- Hebei Normal University (CN)
Publication Details
- Journal
- Disability and Rehabilitation Assistive Technology
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1080/17483107.2025.2579822
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00