Roos van Berkel
Papers
4
Total Citations
161
H-Index
4
About
Roos van Berkel is a pioneering researcher at the intersection of human-robot interaction, affective computing, and dementia care. Her work is distinguished by the innovative application of Laban Movement Analysis (LMA)—a system for describing and notating human movement—to bridge the gap between human expressiveness and machine understanding. Van Berkel’s most influential contribution, "Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis" (2010, 104 citations), established a foundational framework for enabling robots to interpret human emotional and mental states through movement in real time. She further advanced this approach by developing the ELICSE coding system and the EMODEB model (2018, 42 citations), a groundbreaking tool that uses behavioral observation to measure engagement in people with dementia—a critical step toward improving quality of life through more responsive, intuitive care technologies. Her work also explores abstract robot sociality, modeling interpersonal dynamics like dominance and submission to create more natural interactions. Through her development of novel observation schemes and behavior-based assessment tools, van Berkel has provided researchers and designers with powerful new methods for creating embodied intelligent agents that can truly understand and respond to human behavior.
Research Focus
Key Achievements
Top Papers
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