Developing an AI-Powered UX Research Point of View for Digital Health in A Regulatory Context: An Exemplar Case from MSM and Transgender HIV Care in Nigeria
arXiv:2605.31138v1 Announce Type: cross Abstract: User Experience Research (UXR) in a legal and regulatory contexts presents unique challenges that require specialised approaches to protect vulnerable populations whilst generating actionable insights. Digital consultation, appointment booking, and medication delivery platforms show promise for extending care access; however, their real-world effectiveness is curtailed by an absence of theoretically grounded user experience research (UXR) methodologies that adequately account for the psychosocial conditions of these populations. This paper intr
The increasing adoption of digital health platforms, especially in vulnerable populations, and the growing maturity of AI necessitate a deeper understanding of responsible UX research in regulatory contexts.
This research highlights the critical need for theoretically grounded UX methodologies in AI-powered digital health, ensuring ethical deployment and effectiveness for marginalized groups.
The focus on AI-powered UX research within a regulatory framework for vulnerable populations suggests a shift towards more rigorous ethical considerations and specialized design principles in digital health.
- · Digital health platforms
- · UX researchers
- · Vulnerable populations in healthcare
- · AI ethics and regulatory bodies
- · Unregulated digital health solutions
- · Generic UX research methodologies
- · Platforms ignoring psychosocial factors
Improved ethical guidelines and regulatory frameworks for AI in digital health will emerge, particularly for sensitive user groups.
This could lead to a 'trust premium' for digital health solutions that demonstrate robust, ethically-sound UX research, leading to greater adoption among vulnerable populations.
Nations and organizations that prioritize and lead in this area may gain a strategic advantage in providing culturally and ethically sensitive AI-driven healthcare solutions globally.
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Read at arXiv cs.AI