Peeraya Sripian
Papers
15
Total Citations
90
H-Index
6
About
Peeraya Sripian is a researcher whose work sits at the intersection of human-robot interaction, affective computing, and cross-cultural design. With a particular focus on the Japanese concept of *kawaii* (cuteness) in robotics, Sripian has made notable contributions to understanding how cultural aesthetics shape robot perception and acceptance across different societies. Her collaborative studies involving Japanese and American university students — including remote cross-cultural design projects conducted during the COVID-19 pandemic — have yielded valuable frameworks for evaluating robot prototypes across cultural boundaries, accumulating over a dozen citations each. A significant thread of Sripian's research explores emotion estimation through biological signals and facial expressions, enabling robots to exhibit empathetic, synchronized facial responses in real time. This work advances the goal of more intuitive, emotionally intelligent human-robot interaction. Her more recent contributions extend into multimodal deep learning, including the CCT-LSTM framework for remote stress estimation via video, reflecting her expanding engagement with health monitoring and driver safety applications. Across her body of work, Sripian demonstrates a consistent commitment to making robots more culturally aware, emotionally responsive, and meaningfully integrated into everyday human life.
Research Focus
Key Achievements
Top Papers
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- 4Multimodal Deep Learning for Remote Stress Estimation Using CCT-LSTM6 citations · 2024
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