Henning Mayer

Papers

Total Citations

H-Index

About

Henning Mayer’s research lies at the intersection of human-computer interaction, robotics, and the philosophy of technology, with a particular focus on how intelligent systems create and manipulate meaning. In his most-cited work, “RoboLabs: Building Surfaces of Intelligibility” (2020), Mayer argues that robots and chatbots operate on a fundamental paradox: their intelligence is expressed entirely through surface-level behaviors and data, yet they are marketed as possessing deep, introspective understanding. This critical insight challenges the prevailing narratives in AI development, revealing how superficial interaction data is used to fabricate internal emotions and motives. Though still early in his career, with his key paper garnering 3 citations, Mayer’s work is gaining traction among scholars questioning the ethical and epistemological foundations of social robotics. His contributions are particularly valuable for students and researchers exploring the gap between technological promise and practical reality, urging a more honest appraisal of what these systems can truly achieve. Mayer’s research serves as a vital corrective in a field often dazzled by its own ambitions.