Muhammad Faisal El-Muhammady
Papers
1
Total Citations
6
H-Index
1
About
Muhammad Faisal El-Muhammady is a researcher at the intersection of human-robot interaction (HRI) and assistive technology, with a particular focus on applications for individuals with autism spectrum disorder (ASD). His most-cited work, "Initial Response in HRI: A Pilot Study on Autism Spectrum Disorder Children Interacting with a Humanoid QTrobot" (2023, 6 citations), represents a significant contribution to understanding how socially assistive robots can engage neurodiverse populations. This pilot study examines the nuanced behavioral responses of children with ASD during their first encounters with the humanoid QTrobot, providing foundational insights for designing more effective, non-intrusive therapeutic interventions. El-Muhammady’s research bridges robotics engineering and developmental psychology, exploring how robotic platforms can facilitate social communication and emotional engagement in clinical and educational settings. His work is particularly notable for its emphasis on initial interaction dynamics—a critical yet underexplored phase in HRI that can determine long-term acceptance and efficacy. By documenting early response patterns, his study offers practical guidelines for therapists, educators, and roboticists aiming to create adaptive, user-centered assistive technologies. With growing interest in robot-mediated therapy, El-Muhammady’s contributions are shaping the future of inclusive HRI, demonstrating how careful design and observation can unlock new possibilities for supporting diverse cognitive and social needs.
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Top Papers
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