Alexandre Marois est professeur à l’École de psychologie de l’Université Laval depuis 2023. Il est également chercheur invité à la School of Psychology and Humanities de la University of Central Lancashire à Preston, Royaume-Uni, membre chercheur régulier à VITAM - Centre de recherche en santé durable, membre chercheur associé de l'Observatoire international sur les impacts sociétaux de l'IA et du numérique (Obvia) et chercheur collaborateur à l'Institut intelligence et données (IID). Il a complété un doctorat en psychologie à l'Université Laval et a obtenu le prix de la meilleure thèse de la Faculté des sciences sociales. Il a effectué un stage postdoctoral au laboratoire Co-DOT de l'Université Laval en 2019. De 2020 à 2023, M. Marois a occupé la fonction de chercheur industriel en facteurs humains et cognition, jouant un rôle critique dans la recherche, le développement et le transfert technologique de solutions visant à soutenir les domaines opérationnels à fortes demandes cognitives en exploitant différents outils liés à l'intelligence artificielle (IA), aux neurosciences cognitives et à l'informatique affective pour appuyer la prise de décision et prédire l'état psychoaffectif des individus.
M. Marois a développé une expertise dans une foule de domaines comme la psychologie cognitive expérimentale, les facteurs humains, les neurosciences cognitives, la psychophysiologie, la neuroergonomie, l’augmentation cognitive et l’interaction humain-machine. Ses recherches académiques portent présentement sur une variété de sujets incluant l’interaction entre humains et agents intelligents, l’identification et le soutien des limites cognitives dans les situations appliquées, incluant les domaines à haut risque, ainsi que la caractérisation et la résistance à la complexité cognitive en situations réelles.
2025
Benesch, D., Paul, T. S., Marois, A., Paré, S., & Kratzig, G. P. (2025). Piloting continuous neurophysiological monitoring for adapted training of public safety officers. In: D. Harris, W. C. Li, & H. Krömker (Eds.), HCI International 2024 – Late Breaking Papers. HCII 2024. Lecture Notes in Computer Science, vol. 15381 (pp. 207-224). Springer, Cham. https://doi.org/10.1007/978-3-031-76824-8_15
Paul, T. S., Benesch, D., Li, J., Lafond, D., & Marois, A. (2025). AI-driven strategies for public safety personnel readiness prediction: A hybrid model of neurophysiological and psychometric data. Proceedings of the HCI International Conference.
Zinopoulos, C., Fahmi, A., Boudreault, S., & Marois, A. (2025). The impact of human implication for AI-supported decisions over perception of trust, agency and dignity. Proceedings of the 13th International Conference on Human Interaction & Emerging Technologies.
2024
Benesch, D., Paul, T. S., & Marois, A. (2024). Training stress models on open-access data for a continuous human state monitoring platform. In: A. M. Yemelyanov, & L. J. Elliott (Eds.), Neuroergonomics and Cognitive Engineering. AHFE (2024) International Conference. AHFE Open Access, vol. 126. AHFE International, USA.
https://doi.org/10.54941/ahfe1004736
Bolduc, M., Cayouette, A., Benesch, D., Paul, T., Vachon, F., & Marois, A. (2024). Assessing the impact of nature for reducing cognitive fatigue: A validation study. Proceedings of the Annual Meeting of the Cognitive Science Society, 46, 5950-5957. Retrieved from: https://escholarship.org/uc/item/9sw6j1gv
Mahu, A., Singh, A., Tambon, F., Ouellette, B., Delisle, J.-F., Paul, T. S., Khomh, F., Marois, A. & Doyon-Poulin, P. (2024). Validation of vigilance decline capability in a simulated test environment: A preliminary step towards neuroadaptive control. In: A. M. Yemelyanov, & L. J. Elliott (Eds.), Neuroergonomics and Cognitive Engineering. AHFE (2024) International Conference. AHFE Open Access, vol. 126. AHFE International, USA. https://doi.org/10.54941/ahfe1004737
Mani, C., Paul, T. S., Archambault, P. M., & Marois, A. (2024). Machine-learning workflow for edge computed arrhythmia detection in exploration-class missions. npj Microgravity, 10, Article 71. https://doi.org/10.1038/s41526-024-00409-0
Marois, A., Mouratille, D., Pratviel, Y., Chamberland, C., & Tremblay, S. (2024). Using cardiac and electrodermal activity as cognitive markers for interruptions and distraction in a surveillance simulation. In: A. M. Yemelyanov, & L. J. Elliott (Eds.), Neuroergonomics and Cognitive Engineering. AHFE (2024) International Conference. AHFE Open Access, vol. 126. AHFE International, USA. https://doi.org/10.54941/ahfe1004733
Marois, A., & Vachon, F. (2024). Psychophysiological markers of auditory distraction: A scoping review. Auditory Perception & Cognition, 7, 9-49. https://doi.org/10.1080/25742442.2023.2274270
Marsh, J. E., Hurlstone, M. J., Marois, A., Ball, L. J., Moore, S. B., Vachon, F., Schlittmeier, S. J., Röer, J. P., Buchner, A., Aust, F., & Bell, R. (2024). Changing-state irrelevant speech disrupts visual–verbal but not visual–spatial serial recall. Journal of Experimental Psychology: Learning, Memory, and Cognition. https://dx.doi.org/10.1037/xlm0001360
Niaussat, V., Giguère, R., Archambault, P. M., Paul, T. S., & Marois, A. (2024). Real-time machine learning for ICU hypoxia prediction: A pilot study. In: A. M. Yemelyanov, & L. J. Elliott (Eds.), Neuroergonomics and Cognitive Engineering. AHFE (2024) International Conference. AHFE Open Access, vol. 126. AHFE International, USA. https://doi.org/10.54941/ahfe1004734
Paul, T. S., Lafond, D., & Marois, A. (2024). Neuroteaming: Using power spectral density as feature for teaming dynamics in pilot-UAV task allocation strategies. In: A. M. Yemelyanov, & L. J. Elliott (Eds.), Neuroergonomics and Cognitive Engineering. AHFE (2024) International Conference. AHFE Open Access, vol. 126. AHFE International, USA. https://doi.org/10.54941/ahfe1004735
Williot, A., Lafond, D., Tremblay, S., & Marois, A. (2024). Surveillance-behavior support by a real-time gaze-based tool integrated with augmented reality. 2024 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 1–7. https://doi.org/10.1109/CogSIMA61085.2024.10553855
2023
Marois, A., Kopf, M., Fortin, M., Huot-Lavoie, M., Martel, A., Boyd, J. G., Gagnon, J.-F., & Archambault, P. M. (2023). Psychophysiological models of hypogivilance detection: A scoping review. Psychophysiology, 60, e14370. https://doi.org/10.1111/psyp.14370
Marois, A., Labonté, K., Lafond, D., Neyedli, H. F., & Tremblay, S. (2023). Cognitive and behavioral impacts of two decision-support modes for judgmental bootstrapping. Journal of Cognitive Engineering and Decision Making, 17, 215–235. https://doi.org/10.1177/15553434231153311
Marois, A., Lafond, D., Audouy, A., Boronat, H., & Mazoyer, P. (2023). Policy capturing to support pilot decision-making: A proof of concept study. Aviation Psychology and Applied Human Factors, 13, 26–38. https://doi.org/10.1027/2192-0923/a000237
Marois, A., Salvan, L., Lemaire, N., Gagnon, J. (2023). User-centered dashboard for sensors-enabled human state monitoring: Two operational use cases. In: T. Ahram, & C. Falcão (Eds.), Usability and User Experience. AHFE (2023) International Conference. AHFE Open Access, vol. 110 (pp. 189–199). AHFE International, USA. https://doi.org/10.54941/ahfe1003191
Paul, T. S., Lafond, D., Marois, A., Alcaraz, Y., Deries, S., & Jourdon, G. (2023). AI-driven expert modeling for cognitive assistance in anti-submarine warfare. Conference on Artificial Intelligence for Defense, DGA Maîtrise de l’Information, Rennes, France. https://hal.science/hal-04328520
Salvan, L., Paul, T. S., & Marois, A. (2023). Dry EEG-based mental workload prediction for aviation use cases. 2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC), 1–8. https://doi.org/10.1109/DASC58513.2023.10311163
2022
Grossetête, L., Marois, A., Lafond, D., Chatelais, B., & Gagné, C. (2022). Active learning for capturing human decision policies in a data frugal context. In: G. Nicosia, V. Ojha, E. La Malfa, G. La Malfa, G. Jansen, P. M. Pardalos, G. Giuffrida, & R. Umeton (Eds.), Machine Learning, Optimization, and Data Science. LOD 2021. Lecture Notes in Computer Science, vol. 13164 (pp. 395–407). Cham, Switzerland: Springer International Publishing. https://doi.org/10.1007/978-3-030-95470-3_30
Marois, A., & Lafond, D. (2022). Augmenting cognitive work: A review of cognitive enhancement methods and applications for operational domains. Cognition, Technology & Work, 24, 589–608. https://doi.org/10.1007/s10111-022-00715-1
Marois A., Roy-Noël, J., Lafond, D., Williot, A., Harvey, E. R., Martin, B., & Tremblay, S. (2022). Adaptation of a gaze-aware security surveillance support tool for augmented reality. In: T. Ahram & R. Taiar (Eds.), Human Interaction, Emerging Technologies and Future Systems V. IHIET 2021. Lecture Notes in Networks and Systems, vol. 319 (pp. 781–789). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-030-85540-6_99
Ramon Alaman, J., Marois, A., Salvan, L., Lavoie-Hudon, L., Lafond, D., Yan, S., & Tremblay, S. (2022). Integration of policy capturing for online support of pilot decisions in an aircraft simulation. Proceedings of the International Conference on Cognitive Aircraft Systems (ICCAS) 2022. Récupérée sur : https://events.isae-supaero.fr/event/14/contributions/372/attachments/37/74/ICCAS_2022-Integration_of_Policy_Capturing_for_Online_Support_of_Pilot_Decisions_in_an_Aircraft_Simulation.pdf
Salvan, L., Marois, A., Kopf, M., & Gagnon, J.-F. (2022). Sensors-enabled human state monitoring system for tactical settings. 2022 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 55–83. https://doi.org/10.1109/CogSIMA54611.2022.9903277
Salvan, L., Marois, A., Chatelais, B., Lafond, D., & Audouy, A. (2022). Pilots’ decision-making during unstabilized approaches: Group-level policy capturing for cognitive assistance. Proceedings of the International Conference on Cognitive Aircraft Systems (ICCAS) 2022. Récupérée sur : https://events.isae.fr/event/22/contributions/477/attachments/136/193/ICCAS2022_Salvan_et_al_extended_abstract.pdf
2021
Charest, J., Marois, A., & Bastien, C. H. (2021). Can a tDCS treatment enhance subjective and objective sleep among student-athletes? Journal of American College Health, 64, 378–389. https://doi.org/10.1080/07448481.2019.1679152
Marois, A., Charbonneau, B., Szolosi, A. M., & Watson, J. M. (2021). The differential impact of mystery in nature on attention: An oculometric study. Frontiers in Psychology, 12, 759616. https://doi.org/10.3389/fpsyg.2021.759616
Marois, A., Grossetête, L., Chatelais, B., & Lafond, D. (2021). Evaluation of evolutionary algorithms under frugal learning constraints for online policy capturing. 2021 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 73–79. https://doi.org/10.1109/CogSIMA51574.2021.9475930
Marois, A., Hodgetts, H. M., Chamberland, C., Williot, A., & Tremblay S. (2021). Who can best find Waldo? Exploring individual differences that bolster performance in a security surveillance microworld. Applied Cognitive Psychology, 35, 1044–1057. https://doi.org/10.1002/acp.3837
Marois, A., Kopf, M., Salvan, L., Lafond, D., Archambault, P., Pollock, N., & Gagnon, J.-F. (2021). Evaluation of policy capturing to model judgements of medical experts for triage applications. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2450–2456. https://doi.org/10.1109/SMC52423.2021.9658634
Marois, A., Salvan L., Lafond D., Williot A., Lemaire N., & Tremblay S. (2021). Improving usability of a gaze-based surveillance support tool through user-centered design. In: T. Z. Ahram & C. S. Falcão (Eds.), Advances in Usability, User Experience, Wearable and Assistive Technology. AHFE 2021. Lecture Notes in Networks and Systems, Vol. 275 (pp. 732–740). Cham, Switzerland: Springer Nature. https://doi.org/10.1007/978-3-030-80091-8_87
2020
Charest, J., Marois, A., & Bastien, C. H. (2020). Impact of transcranial direct stimulation current on sleep depth among student-athletes. International Journal of Sports Science, 10, 15–22. https://doi.org/10.5923/j.sports.20201001.03
Marois, A. (2020). Restauration cognitive par la nature : vers une intégration dans les milieux professionnels et scolaires. Revue québécoise de psychologie, 41(3), 53–74. https://doi.org/10.7202/1075465ar
Marois, A., Lafond, D., Vachon, F., Harvey, E. R., Martin, B., & Tremblay, S. (2020). Mobile real-time eye-tracking for gaze-aware security surveillance support systems. In: T. Ahram, W. Karwowski, A. Vergnano, F. Leali, & R. Taiar (Eds.), Advances in Intelligent Systems and Computing: Vol. 1131. Intelligent Human Systems Integration (pp. 201–207). Cham, Switzerland: Springer Nature. https://doi.org/10.1007/978-3-030-39512-4_32
Marois, A., Lafond, D., Williot, A., Vachon, F., & Tremblay, S. (2020). Real-time gaze aware cognitive support system for security surveillance. Proceedings of the Human Factors and Ergonomics Society 2020 Annual Meeting, 64, 1145–1149. https://doi.org/10.1177/1071181320641274
Marois, A., Pozzi, A., & Vachon F. (2020). Assessing the role of stimulus novelty in the elicitation of the pupillary dilation response to irrelevant sound. Auditory Perception & Cognition, 3, 1–17. https://doi.org/10.1080/25742442.2020.1820290
2019
Marois, A., Cloutier, M.-S., Saunier, N., Godillon, S., Lafond, D., & Vachon, F. (2019). Safety, stress and site complexity: A field study on police officers performing on-foot traffic control. Transportation Research Interdisciplinary Perspectives, 1, 100018. https://doi.org/10.1016/j.trip.2019.100018
Marois, A., Marsh, J. E., & Vachon, F. (2019). Is auditory distraction by changing-state and deviant sounds underpinned by the same mechanism? Evidence from pupillometry. Biological Psychology, 141, 64–74. https://doi.org/10.1016/j.biopsycho.2019.01.002
Ph. D. en psychologie, Université Laval
Étudiante au baccalauréat en psychologie et en droit, Gabrielle Boily, a déjà fait sa marque dans le monde de la recherche en obtenant une bourse du programme d'appui à la relève 2024-2025 de l'Obv