Papers
16
Total Citations
349
H-Index
9
About
Sichao Song is a human-robot interaction researcher whose work bridges affective robotics, service robot deployment, and teleoperation systems. His research addresses a fundamental challenge in the field: enabling robots with constrained appearances—lacking human-like faces or expressive bodies—to communicate meaningfully with people. His early and most influential work, "Expressing Emotions through Color, Sound, and Vibration with an Appearance-Constrained Social Robot" (149 citations), demonstrated how multimodal cues could substitute for conventional facial expressiveness, a contribution that has shaped subsequent design approaches in functional robotics. Complementing this, his studies on expressive LED lighting and gaze communication further established practical frameworks for non-anthropomorphic robot expressiveness. Song has also made significant contributions to real-world service robotics, conducting field studies in shopping malls and bakery stores that provide rare empirical evidence of robots' commercial impact. His investigations into teleoperated robots—examining voice pitch, social presence, and operator visibility—offer nuanced guidance for deploying remote service systems in retail contexts. With over 300 cumulative citations, his body of work stands out for its commitment to ecological validity, consistently moving beyond laboratory settings to evaluate robots where they must ultimately succeed: in everyday human environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Teleoperated Robot Sells Toothbrush in a Shopping Mall: A Field Study33 citations · 2021
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- 5Service Robots in a Bakery Shop: A Field Study22 citations · 2022
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- 9Out for In!12 citations · 2023
- 10