Max Robotics — Global Service Robot Directory + US Certification

About

Ingar Brinck’s research sits at the intersection of philosophy of mind, cognitive science, and social robotics, exploring how humans and robots can engage in genuinely mutual interaction. Her key contributions center on the role of **mutual recognition**—the acknowledgment of another as an individual—as the foundation for adaptive, non-instrumental partnerships between humans and robots. In her most cited work, *Mutual Recognition in Human-Robot Interaction: a Deflationary Account* (42 citations), Brinck argues that for robots to function as partners rather than tools, they must be susceptible to the same environmental cues and behavioral patterns as humans. She extends this framework to **social norms**, contending in a 2016 paper (13 citations) that the core of human interaction lies in norm-governed coordination, which robots must approximate to achieve human-like behavior. Brinck’s empirical work investigates subtle timing cues—such as gaze adaptation and delayed movements during turn-taking—showing that even slight hesitancies can enhance engagement and perceived social fluency. Her 2020 study on motor intention (3 citations) demonstrates that humans spontaneously produce complementary social movements in response to robots, revealing deep-seated social motor resonance. By bridging theoretical analysis with experimental design, Brinck provides a nuanced roadmap for building robots that are not merely functional, but socially intelligible and responsive.