Extending the UXR Point of View Pyramid: A Generative AI-Augmented Methodology for Human-Centred AI Systems
arXiv:2605.31143v1 Announce Type: cross Abstract: Rising household debt and cost-of-living pressures in the United Kingdom have intensified the role of AI-driven financial technologies in mediating credit assessment, repayment structuring, and debt support services. These systems increasingly shape consequential financial decisions, yet they operate within complex socio-technical environments characterised by regulatory constraint, algorithmic opacity, and heightened vulnerability risk. User Experience Research (UXR) Points of View (PoVs) are critical in translating heterogeneous research evid
The increasing reliance on AI for critical financial decisions in the context of rising household debt necessitates a more robust methodology for human-centred AI, leveraging generative AI to enhance User Experience Research.
This development highlights the growing need to integrate ethical and empathetic frameworks into AI development, particularly where AI systems impact vulnerable populations and consequential life decisions, ensuring trust and fairness.
The proposed 'UXR Point of View Pyramid' augmentation suggests a methodological shift in designing and evaluating Human-Centred AI systems, moving beyond purely technical considerations to incorporate subjective human experiences more effectively.
- · AI ethics researchers
- · UXR professionals
- · Financial technology companies adopting HCAI principles
- · Consumers of AI-driven financial services
- · AI developers ignoring ethical frameworks
- · Companies with opaque or biased AI systems
- · Traditional UXR methodologies
Increased focus on human-centred design and ethical considerations in AI development, particularly in sensitive sectors like finance.
Development of industry standards and regulatory frameworks mandating a human-centred approach for AI systems affecting critical societal functions.
Greater public trust in AI applications, leading to wider adoption and integration of AI into more aspects of daily life, but with stronger ethical guardrails.
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Read at arXiv cs.AI