Ennio Zumthor

FHNW University of Applied Sciences and Arts

Papers

Total Citations

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About

Ennio Zumthor is a pioneering researcher at the intersection of human-robot interaction, gerontechnology, and persuasive design. His work focuses on developing socially intelligent robotic systems that can engage and motivate elderly individuals through generative, knowledge-driven interactions. Zumthor’s most notable contribution, "Knowledge-Based Design Requirements for Persuasive Generative Social Robots in Eldercare" (2025), establishes a foundational framework for integrating ethical persuasion and adaptive behavior into assistive robotics. This paper, already garnering 2 citations in its early release, outlines critical design principles that balance autonomy, empathy, and user-centered goals—a vital step toward creating robots that are not only functional but genuinely supportive in long-term care settings. His research addresses pressing demographic challenges, offering scalable solutions for aging populations. By bridging artificial intelligence, psychology, and robotics, Zumthor is shaping the next generation of caregiving technologies. His work is essential reading for students and researchers in human-robot interaction, assistive technology, and ethical AI design, promising to influence both academic inquiry and real-world deployment in eldercare environments.