Nivan Nelson

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About

Nivan Nelson is a pioneering researcher at the intersection of social robotics, natural language processing, and human-robot interaction, with a focus on multi-party conversational systems. Their most significant contribution is the development of LLM-based dialogue architectures that enable social robots to engage in fluid, multi-party conversations—a major leap from traditional one-on-one human-robot interactions. Nelson’s landmark 2024 paper, “A Multi-party Conversational Social Robot Using LLMs” (22 citations), details a complete system where a Furhat robot uses large language models to manage complex group dialogues, with real-time component visualization. This work was extended in the highly cited “Multi-party Multimodal Conversations Between Patients, Their Companions, and a Social Robot in a Hospital Memory Clinic” (12 citations), demonstrating real-world impact by deploying the system in a clinical setting to facilitate sensitive medical conversations. Nelson also co-developed “FurChat” (2023, 4 citations), an embodied conversational agent that blends open and closed-domain dialogue with expressive facial animations. By pushing social robots beyond simple commands into nuanced, context-aware interactions, Nelson is shaping the future of assistive robotics in healthcare and public spaces.