Chuxuan Zhang

Papers

Total Citations

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About

Chuxuan Zhang is a rising researcher at the intersection of human-robot interaction and affective computing, whose work explores how machines can perceive and respond to human social and emotional cues with greater nuance. Her research spans two key areas: contextual emotion recognition and socially adaptive robot behavior. In her most cited work, "Contextual Emotion Recognition using Large Vision Language Models" (2024, 6 citations), Zhang tackles the unsolved challenge of achieving human-level emotion recognition by moving beyond facial expressions to incorporate body pose, contextual knowledge, and commonsense reasoning—a significant step toward more perceptive AI. Her contributions to robot speech adaptation are equally notable; in "Read the Room" (2023, 3 citations), she demonstrates how robots can modulate their voice style—pitch, speed, and pausing—based on ambient and social contexts like lighting and noise, enhancing perceived awareness and intelligence. Zhang also investigates how humans test interactive agents through nonverbal behaviors in "React to This!" (2024, 1 citation), analyzing over 1,100 interactions to inform more believable robot design. Her work, recognized for its creativity and practical impact, is shaping the next generation of socially intelligent agents.