Lilab
Louvain Interaction Laboratory

About

The Louvain Interaction Laboratory (LiLab) is an interdisciplinary research laboratory within the LouRIM Research Institute of the Université catholique de Louvain, Louvain-la-Neuve, Belgium.
We are interested in better supporting the full development life cycle of any User Interface (UI) of any interactive system, by combining expertise from engineering interactive computing systems (EICS), intelligent user interfaces (IUI), and usability engineering. Our ultimate goal consists of optimizing the interaction between humans, computers, and contexts of use to advance knowledge in Human-Computer Interaction (HCI) and Information Systems (ISs).
We are particularly interested in the technical aspects of UI development incorporating various interaction modalities, such as gesture interaction and multimodal interaction.

Contact: Prof. Jean Vanderdonckt, UCLouvain, Place des Doyens, 1 - 1348 Louvain-la-Neuve, Belgium, +32-10478525, jean.vanderdonckt@uclouvain.be

Research Team

Head

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Jean Vanderdonckt
Consumer Behaviour, IT Management and Information Systems

Jean Vanderdonckt’s research interests include software engineering aspects in human-computer interaction (Engineering interactive computing systems-EICS), particularly for information systems, web sites/applications, intelligent user interfaces (IUI), and usability engineering, preferably combined to obtain a final user interface that is the most usable possible for the end user. More particularly, gesture interaction in multiple contexts of use, with different users, different devices (ranging from an armband to a wall display), and in different environments. Collaborative aspects during the development life cycles of any user interface are also covered, ranging from requirements elicitation until final evaluation.

Researchers

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Nuwan Attygalle
Mots clefs Nuwan
nuwan.attygalle@uclouvain.be

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description Nuwan



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Diego Eloi
Mots clefs Diego
diego.eloi@uclouvain.be

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description Diego Eloi



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Maxime Griot
Mots clefs Maxime
maxime.griot@uclouvain.be

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description Maxime Griot



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Donatien Grolaux
Mots clefs Donatien
donatien.grolaux@ichec.be

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description Donatien Grolaux



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Patrick Jeuniaux
Cognitive Science, Information Systems, Knowledge Graphs, Artificial Intelligence, Data Governance, Criminal Justice
patrick.jeuniaux@uclouvain.be

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Patrick is a cognitive scientist and researcher with a multidisciplinary background in psychology, statistics, and artificial intelligence. He holds a Ph.D. in psycholinguistics from the University of Memphis and has worked in academic and public-sector research in Belgium, the United States, Canada, and Italy.

He is a Research Collaborator at the Louvain Research Institute in Management and Organizations (LouRIM) at UCLouvain, and a researcher and Chief Data Officer at the National Institute of Criminalistics and Criminology (NICC) in Belgium.

Patrick's research has addressed language and conceptual processing, multimodal communication, distributional semantics, complex decision support, forensic intelligence, criminal trajectories, and graph-based data analysis.

His current research interests focus on how knowledge graphs, artificial intelligence, data governance, and advanced analytical methods can support research and decision-making in criminal justice. He coordinates the Knowledge Graphs for Justice (KG4J) project.



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Nacera Latreche
Mots clefs Nacera
nacera.latreche@uclouvain.be

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description Nacera Latreche



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Thanh-Diane Nguyen
Mots clefs Thanh-Diane
thanh-diane.nguyen@ichec.be

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description Thanh-Diane Nguyen



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Mehdi Ousmer
Movement detection, Man-machine interactions, Gesture recognition, 3D gesture recognition, Human-Computer Interaction
mehdi.ousmer@uclouvain.be

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Many sensors are used to capture human body movements and can be involved in many activities across various application domains. The captured raw data often consist of physical measurements in a three-dimensional space (e.g., x, y, z, t), together with additional information such as speed, acceleration, pressure, and jerk. These heterogeneous data sources pose significant challenges for data fusion and interpretation.

This research investigates how mathematical objects (scalars, vectors, pseudo-vectors, and bivectors) can be used to represent and combine movement data within a unified coordinate framework. Instead of repeatedly converting between coordinate systems and potentially losing information, the proposed approach aims to preserve the integrity of the captured data.

The expected outcome is a robust framework for multimodal data fusion that will support the development of accurate and efficient 3D gesture recognition systems for human-computer interaction



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Alaa Eddine Anis Sahraoui
Information systems, Data-drive decision making, Human-computer interactions
alaa.sahraoui@uclouvain.be

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description Alaa Eddine Anis Sahraoui




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Nicolas Szelagowski
Mots clefs Nicolas Szelagowski
nicolas.szelagowski@uclouvain.be

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description Nicolas Szelagowski




Master students

Autres membres: Description...

Projects

COSMIC (Continuous Microgesture Acquisition and Sensing for Natural Interaction)

Although gesture-based interfaces have recently seen significant advances, current technologies remain limited by their reliance on discrete recognition gestures, constrained contexts, and a lack of continuous interaction. COSMIC will develop robust, continuous sensing techniques for real-time microgesture recognition, bridging the gap between expressive interaction and ecological validity. Microgestures are subtle, fine-grained hand movements performed with minimal effort, often while holding objects or interacting with surrounding environments. By leveraging multimodal sensor technologies such as wearable input devices, miniaturized mmWave radars, and emerging on-skin conductive materials, COSMIC will explore how microgestures can be detected in real-time, interpreted continuously, and utilized in natural settings.