Matisse Poupard
PhD in Cognitive Sciences
I am a cognitive science researcher interested in how digital technologies shape learning. I am currently a postdoctoral researcher and teaching fellow at the Flowers AI & Cognitive Science Lab (Inria Bordeaux), where I combine research and teaching activities.
My work focuses on understanding the cognitive and motivational mechanisms involved in learning with immersive and digital technologies, such as virtual reality and augmented reality environments. Through the lens of Cognitive Load Theory and curiosity-driven learning frameworks, I explore how these technologies influence learners’ cognitive load, intrinsic motivation, engagement, and learning performance.
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)