The HULAT-UC3M research group participates in the AI CHAOS!@IUI 2026 (ACM Conference on Intelligent User Interfaces) with the paper "Human Oversight-by-Design for Accessible Generative IUIs", authored by predoctoral researcher Blessing Jerry, along with Lourdes Moreno and Paloma Martínez.
The work lies at the intersection of Human–Computer Interaction, accessibility, and artificial intelligence, and addresses how to generate accessible user interfaces using language models, aligned with standards and adapted to different user profiles, capabilities, and usage contexts. The proposal is based on the idea that, in sensitive domains, it is not enough to automatically generate content: it is also necessary to ensure that the resulting interface is understandable, usable, and appropriate for diverse users.
The paper proposes an architecture for accessible interface generation based on structured user profiles, adaptation rules, validated templates, and traceability with respect to standards such as WCAG 2.2, EN 301 549, ISO 24495-1, and W3C COGA. Based on these elements, the system can produce adapted interfaces and content, for example, through plain language, step-by-step structuring, pictograms, or visual adjustments tailored to user needs.
In addition, the work incorporates an oversight-by-design approach, where automated evaluation acts as a risk signal and triggers human review and system adjustments when necessary. In this way, accessible interface generation is framed not only as a technical problem, but also as a matter of interaction design, governance, and responsibility in AI systems.
This work is part of the HumanAI project and reinforces the research lines of the HULAT-UC3M group on the design and evaluation of accessible technologies, with a particular focus on human-centered intelligent interfaces.
Preprint available at:
https://arxiv.org/pdf/2602.13745
Previous related work: https://arxiv.org/abs/2601.06616