Purnata Saha

Papers

Total Citations

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About

Purnata Saha is a researcher at the intersection of robotics, artificial intelligence, and developmental psychology, with a primary focus on enhancing therapeutic interventions for children with Autism Spectrum Disorder (ASD). Her most cited work, "Task Detection of ASD Children by Analyzing Robotic Enhanced and Standard Human Therapy" (2021, 6 citations), addresses a critical challenge in autism care: objectively measuring the effectiveness of robot-assisted therapy versus traditional human-led sessions. By developing computational methods to detect and analyze task engagement in children with ASD, Saha provides quantitative evidence for how social robots can facilitate communication and interaction where standard therapy may fall short. Her research underscores the vital role of social engagement in overcoming ASD—not as a disease, but as a difference in social communication. While her citation count is still growing, Saha’s work represents an important step toward personalized, technology-enhanced therapeutic approaches. Her findings have implications for designing more effective, data-driven interventions that leverage robotic systems to support children in building essential social skills, making her a promising voice in the emerging field of socially assistive robotics.