Yuko Sasa
Papers
5
Total Citations
32
H-Index
4
About
Yuko Sasa is a pioneering researcher in human-robot interaction (HRI), specializing in socio-affective communication between companion robots and the elderly within smart home environments. Her work centers on the concept of “socio-affective glue”—subtle, emotionally charged cues like prosody and gestures that foster natural, trusting bonds between humans and non-humanoid robots. Sasa’s major contributions include the development of the EEE (EmOz Elderly Expressions) and GEE corpora, which capture spontaneous, ecological interactions using Wizard of Oz methodologies. These datasets have been instrumental in designing robots that use prosody as a primary vector for emotional connection, rather than complex verbal language. Her most cited paper (11 citations) demonstrates how such “glue” cues can mitigate feelings of isolation in elderly users. Sasa’s work, though early-stage, has laid critical groundwork for accessible, empathetic robotic companions, with her research cited across HRI, gerontechnology, and affective computing fields. Her innovative approach—blending linguistics, robotics, and psychology—offers a compelling vision for aging-in-place technologies that prioritize emotional well-being.
Research Focus
Key Achievements
Top Papers
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