Jingyan Yang
Papers
1
Total Citations
14
H-Index
1
About
Jingyan Yang is a rising scholar at the intersection of human-robot interaction, privacy studies, and behavioral research. Her work critically examines how the design of social robots—from appearance to functionality—shapes users’ privacy perceptions, a pressing concern as these technologies become embedded in daily life. In her most-cited paper, "Exploring the Impact of Social Robot Design Characteristics on Users’ Privacy Concerns: Evidence from PLS-SEM and FsQCA" (2024, 14 citations), Yang employs advanced methodological approaches—combining partial least squares structural equation modeling with fuzzy-set qualitative comparative analysis—to uncover both linear and configurational pathways linking robot traits to user anxiety. This dual-method innovation allows her to move beyond simple correlations, revealing how combinations of design features (e.g., human-likeness, autonomy, data handling) can either amplify or mitigate privacy concerns. Her findings offer actionable insights for engineers and policymakers aiming to build trustworthy, user-centered robotic systems. Though early in her career, Yang’s work signals a critical shift toward empirically grounded, design-sensitive privacy research in social robotics—a field where ethical and practical stakes are rapidly escalating. Her contributions are already informing interdisciplinary dialogues on responsible innovation.
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