Daniel Fok
Papers
1
Total Citations
72
H-Index
1
About
Daniel Fok is a leading researcher at the intersection of social robotics and developmental intervention, with a primary focus on enhancing communication skills in children with autism spectrum disorders (ASD). His most influential work, "Using a social robot to teach gestural recognition and production in children with autism spectrum disorders" (2017, 72 citations), addresses a critical gap in the field: while robots often engage children with ASD, few studies had explored their efficacy in teaching gesture use. Fok’s pioneering two-phase intervention demonstrated that social robots can effectively teach both the recognition and production of gestures, offering a scalable, engaging tool for therapists and educators. This work has shaped subsequent research on human-robot interaction for special needs populations, highlighting the potential of embodied agents in social skills training. By bridging robotics and developmental psychology, Fok has laid foundational groundwork for technology-assisted therapies, earning recognition for translating computational tools into meaningful clinical outcomes. His research continues to influence how robots can serve as patient, predictable social partners in therapeutic settings.
Research Focus
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Top Papers
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