Margot Neggers

Margot Neggers is a researcher at the Academy for AI, Games & Media within the Data Science and Artificial Intelligence (DSAI) department, specializing in artificial intelligence applications for human-computer interaction and business contexts.

Research Interests: Her work bridges natural language processing, robotics, and user experience, with core focuses on AI-driven narrative generation (including gender bias analysis in LLMs), chatbot efficacy for SMEs, and human-robot interaction dynamics. She investigates how utilitarian and hedonic chatbot features impact business customers, while robotics research examines comfort parameters in navigation—such as speed, gazing behavior, and spatial boundaries—for applications in elderly care and service environments.

Publication Trends: Recent output (2024-2025) emphasizes semiotic narrative reconstruction, multigenre story composition, and business-aligned chatbot design. Earlier studies (2021-2023) established foundational work on robot navigation comfort, analyzing factors like passing distances and motion congruency. Collaborative patterns show consistent co-authorship with Bespalko, van Hamond, and Kokkinou across both chatbot and robotics domains.