Matisse Poupard
Matisse Poupard
PhD in Cognitive Sciences
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matisse.poupard@inria.fr
I am a cognitive science researcher interested in how humans learn! I am currently a postdoctoral researcher and teaching fellow at the Flowers AI & Cognitive Science Lab (Inria Bordeaux), where I combine research and teaching.
My work explores how cognitive effort and perceived difficulty shape learning, at the intersection of cognitive load theory and curiosity-driven learning models.
I’m also interested in the role of digital technologies as both learning tools and learning microscopes: from immersive environments (VR/AR) that help us better understand learners’ engagement, motivation, and performance, to new ways of measuring learning, such as body movement and learners’ exploration of their learning environment
Publications
2026
Poupard, M., Larrue, F., Bertrand, M., Liguoro, D., Sauzéon, H., & Tricot, A. (2026). From movement to learning: Leveraging VR behavioral metrics to evaluate cognitive load and curiosity. International Journal of Human-Computer Studies, 103751. https://doi.org/10.1016/j.ijhcs.2026.103751 [HAL]
2025
Poupard, M., (2025). Curious and therefore not overloaded: Towards an integrated understanding of curiosity and cognitive load in XR learning environments. (Doctoral dissertation, Université de Bordeaux). [HAL]
🏆 Dissertation award: R3 NumEd
🎥 Defense Video: Link
Poupard, M., Larrue, F., Bertrand, M., Liguoro, D., Sauzéon, H., & Tricot, A. (2025). Reducing Load, Fostering Curiosity: Empirical Validation of the IMCLM-XR. hal-05219664 (Preprint)
Poupard, M., Larrue, F., Bertrand, M., Liguoro, D., Sauzéon, H., & Tricot, A. (2025). Enhancing Anatomy Learning Through Mixed Reality-Supported Drawing: Investigating Learning Performance, Cognitive Load, and Intrinsic Motivation. (Preprint) hal-05050491
Poupard, M., Larrue, F., Bertrand, M., Liguoro, D., Tricot, A., & Sauzéon, H. (2025). Using virtual reality for enhancing neuroanatomy learning by optimizing cognitive load and intrinsic motivation. Computers & Education, 235, 105332. https://doi.org/10.1016/j.compedu.2025.105332 [hal-05156600v2]
Poupard, M., Larrue, F., Sauzéon, H., & Tricot, A. (2025). A systematic review of immersive technologies for education: Learning performance, cognitive load and intrinsic motivation. British Journal of Educational Technology, 56, 5–41. https://doi.org/10.1111/bjet.13503 [hal-03906797v4]
2024
Poupard, M., Larrue, F., Bertrand, M., Liguoro, G., Sauzéon, H., & Tricot, A. (2024). The interplay of cognitive load and intrinsic motivation in neuroanatomy learning through immersive technologies. 16th International Cognitive Load Theory Conference, Sydney, 25-27 November.
Poupard, M., Larrue, F., Bertrand, M., Liguoro, D., Tricot, A & Sauzéon, H. (2024). Guided Drawing in Medical Education: Evaluating AR and MR Systems for Anatomy Learning, 4th International Conference on Science and Technology Education, 3-4 October, Porto, Portugal. (Poster)
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