I am a Full Professor of Computer Science at Hasselt University and deputy managing director of the Digital Future Lab. My research advances Intelligible Interactive Systems: interactive software systems that augment human capabilities while remaining transparent, inspectable, and engineerable.Across two decades of research, I have worked at the intersection of Human–Computer Interaction (HCI) and Software Engineering, with a strong emphasis on model-based methods, end-user empowerment, and Human–AI Interaction. My work appears primarily in ACM CHI, ACM EICS, and ACM IUI.

Curriculum Vitae  PDF

AI, Human–AI Interaction and Intelligibility

My recent work focuses on making AI systems inspectable, controllable, and usable in high-stakes environments. I study how alternative model behaviors can be surfaced and explored interactively with a strong focus on intelligibility, not merely explanation.

  • AI-Spectra — Interactive visual dashboard for exploring model multiplicity (2024)
  • Every Move You Make — Visualizing near-future motion under delay for telerobotics (CHI 2026)
  • DELEGACT — Task-level planning with multimodal LLMs for human–cobot interaction (CHI 2026)
  • FortClash — Predicting and mediating unintended behavior in home automation (EICS 2022)
  • DIVERSE — Disagreement-inducing vector evolution for Rashomon set exploration (2026)

Engineering Interactive Systems

Systematic engineering of interactive systems has been my initial research line, bridging HCI and software engineering. This includes model-based approaches, verification of interaction behavior, and engineering novel user interfaces. Earlier contributions addressed context-aware and distributed user interfaces, plasticity and multi-device interaction, model-driven UI generation, and runtime adaptation.

Feedforward and Intelligibility

Feedforward and Intelligibility have been and are two key aspects throughout my research. Feedforward is how an interface helps people anticipate what will happen before they act—by making options, constraints, and likely outcomes visible and comparable in advance. Intelligibility is how a system makes its internal logic inspectable—so people can understand why something happened, what the system believes, and what would change the result.

Interaction Techniques Beyond the Desktop

A sustained thread in my work explores how interaction can extend beyond traditional screen-based interfaces — through novel physical form factors, wearables, body-aware input, and context-sensitive adaptation. This includes deformable and tangible devices, near-eye displays, posture-aware systems, and techniques for users in mobile or physically demanding situations.

Interactive Systems for Skilled Work and Fabrication

My work increasingly targets industrial and manufacturing contexts, integrating AI, visualization, and human-centered design for human–robot collaboration, visual augmentation of operator insight, AI-assisted labor support, and intelligent training environments. I also maintain a sustained interest in digital fabrication and democratized manufacturing.

Health and Well-being

I have a research line on interactive systems that support health, rehabilitation, and physical well-being. This work spans mobile cardiac rehabilitation, home-based exercise systems, and intelligibility in clinical e-coaching — combining HCI methods with real-world deployment in healthcare settings.

(Systems for) Education

I'm committed to advancing the field through education and methodological innovations. My educational efforts also spill over into research.