Kyana Hyun Joo van Eijndhoven
Papers
1
Total Citations
2
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1
About
Kyana Hyun Joo van Eijndhoven is a researcher at the intersection of social robotics, human-robot interaction, and affective computing. Her work focuses on understanding and predicting social dynamics in child-robot interactions, particularly through the analysis of non-verbal behavioral cues. In her most-cited study, she examined how Facial Action Unit (FAU) intensity can predict task engagement, social engagement, and social attitude during child-robot interactions, using data from the PInSoRo dataset. This work contributes to the development of socially aware robots that can interpret and respond to children's emotional and social states in real time. Though early in her career, van Eijndhoven’s research holds promise for applications in educational robotics, autism therapy, and child development studies, where robots must adapt to nuanced human behavior. Her work underscores the importance of fine-grained behavioral analysis in building more natural and effective human-robot relationships.
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Top Papers
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