معرفی
Florian Kunneman is a Visiting Professor at the Faculty of Science, Vrije Universiteit Amsterdam, affiliated with the Artificial Intelligence department, Network Institute, and Social AI. His research focuses on human-robot interaction (HRI), conversational agents, dialogue management, and applying NLP to public health and guideline development. He has contributed to over 30 peer-reviewed publications and led projects integrating stakeholder experiences into clinical guidelines and advancing ego-speech filtering for social robots. His work bridges technical AI advancements with ethical considerations, particularly for marginalized communities.
Research Interests:
- Human-Robot Interaction (HRI)
- Conversational Agent Design
- Natural Language Processing (NLP) for healthcare and social media analysis
- Ethical implications of AI for marginalized groups
- Real-time audio processing for social robots
Recent Contributions: His 2025 HRI conference paper explores how robots communicate their capabilities to users, enhancing natural conversations. In 2024, he published foundational work on dialogue management systems and a near-real-time audio filtering pipeline for robots. He also co-authored a practical guide using NLP to incorporate experiential knowledge into vaccination guidelines.
Projects:
- "Evidence in Actie" (2020-2024): Leveraged NLP to standardize experiential knowledge in public health guidelines.
- Robust speech processing for robots: Developed algorithms to filter self-generated speech (ego-speech) during human-robot conversations.
Labs & Collaborations: Active in the Social AI team and Network Institute, collaborating with researchers in robotics, ethics, and healthcare. His work often involves interdisciplinary teams addressing societal challenges through AI innovation.
