Maryse Lavoie
Papers
1
Total Citations
7
H-Index
1
About
Dr. Maryse Lavoie is a pioneering researcher at the intersection of child development and human-robot interaction, with a primary focus on leveraging technology for early autism diagnosis. Her most influential work centers on the development of "QueBall," a spherical robotic tool designed to assist in diagnosing autism spectrum disorder in children aged two to five. This innovative robot features motion capabilities, touch sensors, multi-colored lights, sounds, and a wireless interface with iOS devices—creating a multisensory, engaging platform for clinical assessment. Although her seminal 2015 paper has garnered 7 citations, its true impact lies in laying the groundwork for a novel diagnostic approach that bridges robotics and pediatric psychology. Dr. Lavoie’s contributions are notable for introducing a non-intrusive, play-based method that could transform early detection practices. Her work represents a critical step toward integrating interactive technologies into developmental screening, offering a promising avenue for more accessible and child-friendly diagnostic tools.
Research Focus
Key Achievements
Top Papers
- 1A Tool to Diagnose Autism in Children Aged Between Two to Five Old7 citations · 2015