Amitava Das

Papers

Total Citations

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About

Amitava Das is a pioneering researcher at the intersection of artificial intelligence, natural language processing, and healthcare robotics. His work focuses on developing intelligent conversational systems that can facilitate meaningful human-robot interaction, particularly in health behavior change contexts. In his seminal 2014 paper, "A Framework for Health Behavior Change using Companionable Robots," Das introduced a novel dialogue system framework that enables robots to guide patients toward healthier lifestyles through sophisticated natural language analysis and generation. The framework operates through three critical stages: building rapport with patients, identifying health-related topics, and assessing patient readiness for change. Though this foundational work has garnered 5 citations, its impact extends beyond raw numbers, establishing a conceptual bridge between computational linguistics and behavioral health interventions. Das's research represents a significant contribution to the emerging field of socially assistive robotics, demonstrating how AI-powered companion systems can serve as empathetic health coaches. His work continues to influence researchers exploring the intersection of conversational AI, patient engagement, and automated health behavior modification systems.