Xinxiang Wang

Papers

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About

Xinxiang Wang is a rising researcher in human-robot interaction, with a focus on designing emotionally expressive robots that foster natural, intuitive communication. Wang’s most cited work explores how cat-like robots can convey emotion through coordinated tail movements and human-like gazes, a novel approach that bridges animal-inspired design and social robotics. This study, published in 2024 and already garnering 3 citations, demonstrates Wang’s ability to address emerging questions in affective robotics—how subtle, non-verbal cues can enhance user acceptance and engagement. By systematically analyzing how gaze direction and tail posture combine to signal emotional states, Wang provides a foundational framework for future robot design, particularly in companion and service contexts. This work not only advances the technical understanding of multi-modal emotional expression but also highlights the importance of biomimetic features in building trust and rapport. As a young scholar, Wang’s contributions are already shaping how researchers think about the role of morphology and movement in social robotics, promising a career at the forefront of emotionally intelligent machine design.