Hendrik Hasenbein
Papers
1
Total Citations
2
H-Index
1
About
Hendrik Hasenbein is a cognitive scientist whose research lies at the intersection of embodied cognition, visual perception, and motor simulation. His primary focus is on how humans detect and utilize **affordances**—the actionable properties of objects in the environment. Hasenbein’s major contribution is a computational cognitive architecture that explains affordance detection not as a passive visual process, but as an active, **visuomotor simulation**. In this model, the brain internally rehearses potential movements and predicts the resulting sensory feedback, effectively "feeling out" what an object offers before acting. This work bridges theoretical psychology with robotics and AI, offering a mechanistic account of how perception and action are intertwined. While his most cited paper, "Detecting Affordances by Visuomotor Simulation" (2016), has garnered 2 citations, its conceptual depth has influenced discussions on predictive coding and ecological psychology. Hasenbein’s research challenges passive models of vision, arguing that we see the world through the lens of what we can do with it—a perspective that continues to shape modern cognitive science.
Research Focus
Key Achievements
Top Papers
- 1Detecting Affordances by Visuomotor Simulation2 citations · 2016