Why robots confuse people—and how to fix it
Researchers have identified why humans struggle to understand what robots can actually do in real-world settings: most robot interfaces rely on abstract symbols instead of showing users what the robot perceives. A new design framework promises to make robots more predictable and trustworthy by revealing how they sense and interact with their environment—a shift that could reduce errors and liability in factories, hospitals, and homes.
Originaltitel: Making Robot Ecologies Visible: Toward a Taxonomy for Gibsonian Human-Robot Interface Design
<p>Robots increasingly operate in everyday human environments, where interaction depends on users understanding what the robot can perceive and act on-its perceived ecology or Umwelt. Current human-robot interfaces rarely support this understanding: they rely largely on symbolic cues that reveal little about how environmental structures shape the robot’s actions. Drawing on Gibson’s ecological psychology, we propose a shift from symbolic communication toward ecological specification in interface design. We introduce the Gibsonian Human-Robot Interface Design (GHRID) taxonomy, which organizes interface properties across three facets-basic descriptive, context and evaluation, Gibsonian-specific-and identifies key ecological dimensions such as affordance grounding, temporal coupling, and Umwelt exposure. Finally, we outline a research program testing whether “GHRID-high” designs improve users’ understanding of robots’ behavior-driving states and processes.</p>