Katharina Jettka
Papers
1
Total Citations
27
H-Index
1
About
Katharina Jettka is a researcher whose work sits at the compelling intersection of human social cognition and human-robot interaction. Her primary research area focuses on how people intuitively read and respond to social signals during interactions with autonomous systems. Jettka’s most notable contribution is the development of the "Ghost-in-the-Machine" (GiM) paradigm, a novel methodological approach designed to isolate and identify the subtle, non-verbal cues humans use to infer a robot’s intentions. In her highly cited 2015 study (27 citations), she applied this paradigm to a robotic bartender scenario, demonstrating how participants could recognize the social signals of a customer, such as ordering a drink, based solely on the robot’s behavioral output. This work is foundational for designing more intuitive and socially aware robots, moving beyond simple command execution to genuine, legible interaction. By providing a tool to deconstruct the "black box" of social signaling, Jettka’s research offers a critical framework for engineers and cognitive scientists aiming to build machines that can truly collaborate with people.
Research Focus
Key Achievements
Top Papers
- 1