Jishnu Harinandansingh
Papers
1
Total Citations
6
H-Index
1
About
Jishnu Harinandansingh is a researcher at the intersection of human-robot interaction and cognitive neuroscience, with a focus on how social robots can enhance learning. His key research areas include robot-assisted language learning (RALL), motivational gesture design, and the neural underpinnings of cognitive engagement. In his most-cited work, "Motivational Gestures in Robot-Assisted Language Learning: A Study of Cognitive Engagement using EEG Brain Activity" (2022, 6 citations), Harinandansingh pioneered the use of EEG to measure how a social robot’s gestures impact learner motivation and cognitive engagement. By demonstrating that embodied, socially expressive robots can significantly boost attention and retention in language learners, his work bridges robotics and neuroeducation. This study, involving twenty participants, provides empirical evidence for designing more effective pedagogical robots. Harinandansingh’s contributions are notable for integrating real-time brain activity metrics into human-robot interaction research, offering a rigorous, data-driven approach to optimizing educational technology. His findings have implications for personalized learning systems and the development of socially intelligent robots that adapt to learners’ cognitive states.
Research Focus
Key Achievements
Top Papers
- 1