Kai Frederic Engelmann
Papers
2
Total Citations
57
H-Index
2
About
Kai Frederic Engelmann investigates the intersection of human-robot interaction and intelligent environments, focusing on how people intuitively communicate with and control smart homes through social robots. His major contribution lies in understanding naive users' natural interaction patterns, demonstrating that people spontaneously address robotic systems as social partners rather than mere tools. In his highly cited work "How to Address Smart Homes with a Social Robot?" (29 citations), Engelmann and colleagues created a multi-modal corpus capturing how users verbally and gesturally command an intelligent apartment, revealing that speech and deictic gestures dominate early interactions. His companion study "Welcome to the Future" (28 citations) further showed that untrained users instinctively employ conversational language and social cues when facing a robotic home system, challenging assumptions about the need for explicit instruction. These findings have shaped the design of more intuitive human-robot interfaces, emphasizing natural language and social protocols over technical commands. Engelmann's work bridges cognitive science and robotics, providing empirical evidence that future smart environments must accommodate human social expectations to achieve seamless, accessible interaction.
Research Focus
Key Achievements
Top Papers
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