Akiko Yasuhara
Papers
2
Total Citations
6
H-Index
2
About
Akiko Yasuhara explores the intersection of human emotion and robotic design, with a particular focus on how non-verbal cues—specifically, tears—can shape human-robot interaction. Her research centers on affective computing and social robotics, investigating whether robots can replicate the emotional and social signaling functions of human tears. In her most-cited work, “Robots with tears can convey enhanced sadness and elicit support intentions” (2023, 4 citations), Yasuhara demonstrates that robotic tears not only amplify perceived sadness but also increase observers’ willingness to offer support. This builds on her earlier 2022 study (2 citations), which laid the groundwork by questioning whether artificial tears carry the same communicative weight as human ones. Though her citation counts are modest, Yasuhara’s work is notable for its originality and emotional depth—addressing a rarely explored but profoundly human aspect of robotic expression. Her findings have implications for designing more empathetic machines, particularly in caregiving or therapeutic contexts. Yasuhara’s research offers a compelling glimpse into a future where robots do not just mimic actions, but genuinely move us.
Research Focus
Key Achievements
Top Papers
- 1
- 2