Shih-Chieh Wang
Papers
1
Total Citations
17
H-Index
1
About
Shih-Chieh Wang is a leading researcher in human-robot interaction (HRI) and affective computing, with a particular focus on enabling robots to perceive and respond to human emotions through sensory modalities. His most-cited work, "Speech signal-based emotion recognition and its application to entertainment robots" (2012, 17 citations), pioneered methods for integrating voice-based emotion recognition into robotic systems, allowing machines to interpret human affect and interact more intelligently. Wang’s research addresses the critical challenge of making robots socially aware by leveraging speech, vision, and touch—transforming entertainment robots from simple tools into empathetic companions. His contributions have laid foundational groundwork for emotionally intelligent robotics, influencing subsequent studies in HRI and affective interfaces. By bridging signal processing and robotics, Wang has advanced the goal of creating machines that can understand and adapt to human emotional states, a key step toward more natural and effective human-robot collaboration. His work continues to inspire researchers exploring the intersection of emotion recognition, multimodal sensing, and autonomous systems.
Research Focus
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Top Papers
- 1