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个人简介
Dr. Alexandre Marois is an Assistant Professor at the School of Psychology of Université Laval in Québec, Canada. He is also a Visiting Fellow at the School of Psychology and Humanities of the University of Central Lancashire in Preston, United Kingdom. He pursued a postdoctoral fellowship in Applied Cognitive Psychology at Université Laval in Dr. Sébastien Tremblay’s Co-DOT lab. He completed his PhD in Experimental Psychology at Université Laval under the supervision of Dr. François Vachon where he received the Best Doctoral Thesis award of the faculty. From 2020 to 2023, he worked as an industrial researcher for Thales, playing an active role in the research, development and technological transfer of solutions aimed at supporting cognitively challenging operational domains exploiting different tools related to artificial intelligence (AI), cognitive neuroscience, and affective computing. With more than 10 years of experience in the domain, he developed extensive expertise in experimental cognitive psychology, human factors, cognitive neuroscience, psychophysiology, neuroergonomics, cognitive augmentation, and human-machine interaction. His academic research now concerns a large variety of subjects including the interaction between humans and AI-driven agents, the identification and support of cognitive fallacies in high-risk domains, and the characterization and mitigation of cognitive complexity in real-life situations.movements and variations of the pupil size.
研究兴趣
论文共 39 篇作者统计合作学者相似作者
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JOURNAL OF COGNITIVE ENGINEERING AND DECISION MAKINGno. 3 (2023): 215-235
2023 IEEE/AIAA 42ND DIGITAL AVIONICS SYSTEMS CONFERENCE, DASCpp.1-8, (2023)
Auditory Perception & Cognitionpp.1-41, (2023)
Aviation Psychology and Applied Human Factorsno. 1 (2023): 26-38
Alexandre Marois,Maëlle Kopf, Michelle Fortin,Maxime Huot-Lavoie, Alexandre Martel,J Gordon Boyd, Jean-François Gagnon,Patrick M Archambault
Psychophysiologyno. 11 (2023): e14370-e14370
Annual Meeting of the Cognitive Science Society (2022)
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MACHINE LEARNING, OPTIMIZATION, AND DATA SCIENCE (LOD 2021), PT II (2022): 395-407
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