AI-Augmented UX Research for Digital Health in Nigeria's HIV Care
A new paper introduces a Generative AI-augmented User Experience Research (UXR) methodology tailored for digital health interventions serving MSM and transgender individuals living with HIV/AIDS in Nigeria. The approach, grounded in the UXR Point of View (PoV) Playbook, addresses the unique challenges of legal and regulatory contexts while protecting vulnerable populations. Drawing from empirical research including co-design workshops, thematic analysis, and requirements engineering, the methodology aims to design psychologically safe, low-cognitive-load platforms for digital consultation, appointment booking, and medication delivery. The paper highlights that current real-world effectiveness of such platforms is limited by a lack of theoretically grounded UXR methods that account for psychosocial conditions. Published on arXiv (2605.31138), the study proposes a framework to generate actionable insights within regulatory constraints.
Key facts
- Paper introduces Generative AI-augmented UXR methodology for digital health in Nigeria
- Focuses on MSM and transgender individuals living with HIV/AIDS
- Methodology grounded in UXR Point of View (PoV) Playbook
- Addresses legal and regulatory context challenges
- Aims to design psychologically safe, low-cognitive-load interventions
- Based on empirical research: co-design workshops, thematic analysis, requirements engineering
- Targets digital consultation, appointment booking, medication delivery platforms
- Published on arXiv with identifier 2605.31138
Entities
Institutions
- arXiv
Locations
- Nigeria