Daan Goslinga
Papers
1
Total Citations
4
H-Index
1
About
Daan Goslinga is a researcher at the intersection of human-robot interaction and social robotics, with a primary focus on how humans perceive and adapt to conversational robots over time. His most cited work, "Towards a Real-time Measure of the Perception of Anthropomorphism in Human-robot Interaction" (2021, 4 citations), tackles a foundational question: how human-like must a robot appear to sustain long-term, natural conversation? Goslinga’s key contribution lies in proposing a real-time metric for anthropomorphism—a tool that could allow robots to dynamically adjust their behavior based on a user’s perception. He emphasizes the role of prosody, or vocal rhythm and tone, as a critical channel for conveying engagement and emotion, enabling humans to adapt to a robot’s fluctuating social cues. This work bridges cognitive science and engineering, offering a pathway toward more intuitive, empathetic machines. While early in his career, Goslinga’s research is notable for its practical ambition: moving beyond static measures of anthropomorphism to create adaptive, responsive systems. His findings hold promise for fields like assistive robotics and virtual companions, where sustained, believable interaction is key.
Research Focus
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Top Papers
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