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HumanAI-IU Team Working Session: Review, Retrospective, and Co-design Workshop

This week, the HumanAI-IU team held an intensive working session combining a review meeting, a retrospective, and a co-design workshop focused on rethinking GenAI interfaces for people with intellectual disabilities. These three complementary activities allowed us to assess progress, improve the way we work as a team, and generate new design ideas with real impact.

During the review meeting, we shared the progress achieved since the last iteration across several key areas of the project:

    • Standards and nomenclature.

    • User testing with end users to identify real barriers to accessing generative AI.

    • Interface redesign proposals focused on cognitive accessibility.

    • Text simplification.

    • Accessibility analysis of current GenAI tools.

We also reviewed work packages, tasks, and overall planning. The conclusion was very positive: the project is moving forward at a good pace, and we are delivering on our commitments while aligning results with our objectives.

After the review, we conducted the retrospective to reflect on how we are working and how we can improve as a team. We analyzed the improvement actions defined in the previous iteration and found that most of them have been completed or are well underway. The remaining ones helped us extract valuable lessons and adjust our approach. Based on this collective reflection, we defined new actions to continue working more efficiently, collaboratively, and sustainably in the coming months.

We then dedicated a large part of the day to a co-creation workshop with a clear goal: to rethink how GenAI interfaces should be designed for people with intellectual disabilities, placing users at the center of the design process. The session helped us:

    • Strengthen team connection.

    • Design through creativity and diverse perspectives.

    • Generate concrete proposals grounded in real needs.

We worked across five main areas:

❓ Question generation

💡 Answer refinement

✅ Information verification

💬 Context management

ℹ️ Personalization

Each participant contributed ideas that were captured on a shared board (problem, solution, why it helps, and sketch). We discussed the proposals together and used dot voting to identify the most promising concepts for an initial redesign.

The workshop produced several strong ideas: guidance to avoid the “blank page” effect, step-by-step answers, integrated glossaries, warnings for sensitive topics, visual conversation maps, and personalization systems that adapt to each person’s pace and needs.

This combination of evaluation, continuous improvement, and co-design reinforces the HumanAI approach: moving forward rigorously, learning at every iteration, and always designing with people at the center.