Research

Research Interests

I explore how to build interactive systems that fit people’s needs and contexts, especially when these systems involve complex or intelligent behaviors. My goal is to help non-expert users better understand and make use of these technologies in meaningful ways.

I contribute methodologies, tools, and interfaces based on a human-centered approach to support appropriation and sensemaking, while helping designers and developers create systems that are better adapted to real-world use.

To do so, I draw on methods from both human-computer interaction and software engineering: iterative design, user studies (qualitative and quantitative), systematic reviews, etc.

I’ve applied this approach in areas such as ambient assisted living (helping ageing experts make sense of smart home services) and explainable AI (designing interfaces that help non-experts interpret algorithmic decisions).

Ongoing PhD Supervision

• José Cezar de Souza Filho (2023–). Co-supervised (50%) with Káthia Marçal de Oliveira.
• Juliette Deyts (2024–). Co-supervised (33%) with Hélène Sauzéon and Lucile Dupuy.

Other Supervision / Thesis Committees

• Deepa Muralidhar (2022–2025) – Member of the PhD advisory committee.

Academic Service

• Program Committee Member:
  • ACM ASSETS 2025
  • ACM AIES 2022
• Reviewer:
  • CHI – ACM Conference on Human Factors in Computing Systems
  • EICS – ACM Symposium on Engineering Interactive Computing Systems
  • INTERACT – IFIP Conference on Human–Computer Interaction
  • AIES – AAAI/ACM Conference on AI, Ethics, and Society
  • IHM – French conference on Human–Computer Interaction
  • International Journal of Human–Computer Interaction (IJHCI)
  • Universal Access in the Information Society (UAIS)
  • Etc.

Working Groups and Community Involvement

• Member of the GDR RADIA working group Explicon.
• Active member of the GDR IHM.