Developing a Culturally Grounded, AI-Augmented UX Research Point of View (POV): An Exemplar Case Study from Telemedicine Dementia Care

Researchers developed a culturally grounded, AI-augmented User Experience Research (UXR) framework for TeleDeCa, a telemedicine dementia care system serving family caregivers in Nigeria. The study demonstrates how generative AI can support UXR methodology in low-resource, culturally sensitive contexts while maintaining human oversight and ethical accountability, producing reusable design patterns for future AI-powered research applications.

This academic research addresses a critical gap in published UXR methodology by documenting how Points of View—strategic frameworks that synthesize research into actionable design guidance—are constructed in resource-constrained, culturally specific environments. The TeleDeCa case study extends existing UXR frameworks by integrating generative AI as a bounded collaborator that augments human researchers rather than replacing them, particularly valuable for teams working across cultural contexts where local expertise is essential.

The work emerges from growing recognition that design research methodologies developed in well-resourced Western contexts often fail to translate effectively to underserved global markets. By grounding the framework in Nigerian context-specific insights while leveraging AI for synthesis and hypothesis generation, the researchers demonstrate scalable approaches to culturally competent design research. This pattern directly addresses healthcare innovation challenges where demographic shifts—particularly dementia care demand in developing nations—require locally relevant solutions.

For the AI and healthcare technology sectors, this framework has meaningful implications. It provides evidence-based patterns for responsible AI integration in research workflows, addressing stakeholder concerns about AI replacing human judgment in sensitive domains. The extraction of reusable Play Cards suggests potential for standardizing AI-augmented research practices across organizations.

Looking forward, the framework's acceptance into CHI 2026 workshop materials signals institutional validation of these methodologies. Healthcare AI developers and UX teams can adopt similar hybrid human-AI approaches to improve design quality in underserved markets, while researchers have documented reference materials for culturally grounded, AI-powered investigation.

• →Generative AI can augment UXR methodology as a bounded tool while preserving human judgment and cultural sensitivity in design research.
• →The framework demonstrates practical approaches for developing healthcare solutions in low-resource, culturally specific contexts like Nigeria.
• →Reusable design patterns and Play Cards extracted from the case study provide templates for other teams conducting AI-powered UXR projects.
• →The methodology bridges research fragmentation by synthesizing mixed-methods data into actionable Points of View without requiring fully validated system outcomes.
• →AI-augmented research frameworks show promise for improving design equity by making sophisticated UXR approaches more accessible to resource-constrained teams.