Papers
5
Total Citations
133
H-Index
3
About
Kshitij Sharma is a researcher whose work sits at the intersection of human-computer interaction, educational technology, and rehabilitation robotics. His research explores how children engage with coding, games, and tangible robots, with a particular emphasis on computational thinking and the attitudes young learners develop toward technology. His most-cited work, "Coding Games and Robots to Enhance Computational Thinking" (2019, 65 citations), investigates how collaboration and engagement shape children's experiences in technology-driven learning environments. Complementing this, his research on upper limb rehabilitation games with tangible robots (2018, 52 citations) demonstrates a commitment to socially meaningful applications, addressing real-world limitations in motor rehabilitation through innovative, game-based approaches. Sharma also leverages multimodal behavioral data — notably eye tracking — to gain deeper insight into children's attention and cognitive engagement during learning activities. His more recent work on Explainable Child-Technology Interaction signals a forward-looking agenda concerned with transparency and trust in AI-driven systems for young users. Spanning child education, healthcare, and ethical AI, Sharma's contributions reflect a researcher dedicated to making intelligent technologies more accessible, comprehensible, and beneficial for diverse and vulnerable populations.
Research Focus
Key Achievements
Top Papers
- 1
- 2Iterative Design of an Upper Limb Rehabilitation Game with Tangible Robots52 citations · 2018
- 3
- 4Kid Coding Games and Artistic Robots3 citations · 2018
- 5ExTra CTI: Explainable and Transparent Child-Technology Interaction2 citations · 2024