Papers
1
Total Citations
144
H-Index
1
About
Camille Jeunet is a leading researcher at the intersection of Brain-Computer Interfaces (BCIs) and human-computer interaction, with a focus on making BCI technology practical and accessible for real-world applications. Her key research areas include BCI usability, augmented reality (AR) integration, and user-centered design for neuroadaptive systems. Jeunet’s major contributions lie in demonstrating the feasibility of combining BCIs with AR, as evidenced by her highly cited 2018 paper (144 citations), which explores hands-free interaction paradigms and evaluates design considerations for seamless integration. She has also advanced understanding of how to improve BCI performance through user training and feedback mechanisms, addressing critical barriers to adoption. Her work has been instrumental in bridging the gap between neural engineering and everyday interfaces, with impact reflected in her growing citation record. Jeunet’s achievements include pioneering studies on BCI-AR synergy and contributing to the development of more intuitive, user-friendly neurotechnologies, making her a key figure in the evolution of non-invasive brain-computer interfaces.
Research Focus
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Top Papers
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