Ka-Yee Lam
Papers
3
Total Citations
87
H-Index
3
About
Ka-Yee Lam is a researcher specializing in autism spectrum disorder (ASD) interventions, with a particular focus on the emerging field of robot-assisted therapy for children with autism. Her work sits at the intersection of educational technology, developmental psychology, and special education, investigating how social robots can be leveraged to address core social communication deficits in autistic children. Lam's most significant contributions center on rigorously comparing robot-based interventions (RBI) with traditional human-based interventions (HBI). Her landmark 2019 study, now with 51 citations, examined learning outcomes in gestural production and recognition, providing empirical evidence for the comparative effectiveness of robotic teachers. Building on this, she has investigated critical social skills including joint attention — a foundational developmental milestone — through innovative methodologies such as stepped wedge trials and controlled comparison studies. Her research is particularly notable for its attention to inclusivity, specifically addressing low-functioning, Chinese-speaking children with ASD, a population often underrepresented in intervention research. With cumulative citations exceeding 85 across her key works, Lam's research has meaningfully advanced understanding of how technology can be thoughtfully integrated into autism therapy, offering practitioners evidence-based guidance for designing more engaging and effective interventions.
Research Focus
Key Achievements
Top Papers
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