Martijn Goudbeek
Papers
2
Total Citations
10
H-Index
2
About
Martijn Goudbeek is a researcher whose work sits at the intersection of affective computing, human-robot interaction, and nonverbal communication. His primary research focus is on how emotional expressions can be effectively represented and recognized in artificial agents, particularly through the use of facial landmarks. Goudbeek’s major contribution lies in demonstrating that minimal, digitally-extracted facial landmark configurations—simple points mapping key facial features—can reliably convey complex emotions like happiness, sadness, and surprise. This insight is crucial for designing robots and embodied conversational agents that can produce believable, socially engaging expressions without the need for high-fidelity, computationally expensive facial models. His most cited work, "Representing Affective Facial Expressions for Robots and Embodied Conversational Agents by Facial Landmarks" (2013), has garnered 8 citations, while his earlier study on robot smiles (2012) laid the groundwork for this approach. By showing that even a sparse set of points can trigger emotional recognition in human observers, Goudbeek has provided a practical, scalable solution for making artificial systems more expressive and relatable—a key step toward seamless human-machine interaction.
Research Focus
Key Achievements
Top Papers
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- 2