Nicolas Hiillos
Papers
1
Total Citations
1
H-Index
1
About
Nicolas Hiillos is a pioneering researcher at the intersection of artificial intelligence, human-robot interaction, and creativity studies. His work fundamentally challenges how we perceive and evaluate machine-generated creativity, moving beyond traditional product-focused assessments to examine the role of perceptual evidence and robot embodiment. In his most-cited paper, "From Product to Producer: The Impact of Perceptual Evidence and Robot Embodiment on the Human Assessment of AI Creativity" (2025), Hiillos demonstrates that witnessing the creative process—not just the final output—significantly alters human judgments of AI creativity. This groundbreaking research bridges cognitive science, robotics, and aesthetics, offering new frameworks for understanding human-AI collaboration. While his citation count is still growing, Hiillos's work has already attracted attention for its timely relevance as creative AI systems become ubiquitous. His contributions are particularly notable for integrating theoretical foundations from prior empirical work with novel experimental designs, setting the stage for future investigations into how embodiment and process transparency shape our acceptance of machine creativity.
Research Focus
Key Achievements
Top Papers
- 1