Malisha Islam Tapotee
Papers
1
Total Citations
6
H-Index
1
About
Malisha Islam Tapotee is a researcher at the forefront of applying robotics and artificial intelligence to developmental psychology and assistive technology. Her primary research areas center on human-robot interaction, autism spectrum disorder (ASD) intervention, and machine learning-driven behavioral analysis. Tapotee’s most impactful contribution is her pioneering work in comparing robotic-enhanced therapy with standard human therapy for children with ASD. Her highly cited 2021 paper, "Task Detection of ASD Children by Analyzing Robotic Enhanced and Standard Human Therapy," has garnered 6 citations, establishing a foundational framework for quantifying therapeutic effectiveness. In this work, she demonstrated how social robots can be systematically deployed to improve social communication in children with ASD, offering a scalable, data-driven alternative to traditional interventions. By leveraging task detection algorithms, Tapotee provided empirical evidence that robotic interaction can enhance engagement and social responsiveness. Her research bridges the gap between clinical psychology and engineering, offering practical tools for therapists and educators. Tapotee’s work is notable for its interdisciplinary approach, combining rigorous experimental design with real-world applicability, and positions her as an emerging voice in the field of socially assistive robotics.
Research Focus
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Top Papers
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