Griva Shah
Papers
1
Total Citations
2
H-Index
1
About
Griva Shah’s research lies at the intersection of human-computer interaction, assistive technology, and developmental psychology, with a particular focus on autism spectrum disorder (ASD). Her most cited work, “Psycho-physiological implications of computer based social and non-social interactive tasks for children with autism” (2017), explores how digital environments—both social and non-social—affect the physiological and emotional states of children with ASD. By examining the potential of computer-based tasks to support learning and engagement, Shah contributes to a growing body of evidence that technology can be tailored to meet the unique cognitive and sensory needs of neurodiverse learners. Though her citation count is modest, her research is foundational in understanding how interactive systems can bridge communication and imagination deficits characteristic of ASD. Shah’s work is particularly valuable for educators, therapists, and technologists designing inclusive educational tools. Her emphasis on psycho-physiological measurement offers a rigorous, data-driven approach to evaluating the real-world impact of digital interventions, making her a promising voice in the field of accessible and adaptive technology for special education.
Research Focus
Key Achievements
Top Papers
- 1