Weisha Wang

Papers

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About

Weisha Wang is a rising scholar in the field of human-robot interaction and service marketing, with a particular focus on consumer psychology in automated service environments. Her research critically examines how customers perceive and respond to service failures involving robots, a topic of growing importance as AI-driven services become ubiquitous. In her most-cited work, "How to make consumers tolerate robotic service failures" (2024), Wang identifies key psychological mechanisms—such as anthropomorphism and perceived agency—that can mitigate negative reactions when robots err. This paper, already garnering 8 citations within its first year, offers actionable strategies for businesses to design more resilient and consumer-friendly robotic systems. Wang’s contributions bridge the gap between technology acceptance and service recovery, providing a framework for understanding when and why customers forgive robotic mistakes. Her work is notable for its practical implications: by shifting the narrative from robot perfection to robot apology, she helps shape a future where human-robot collaboration is more forgiving and effective. As a young researcher, Wang is quickly establishing herself as a key voice in the ethical and experiential design of service robots, making her a scholar to watch in this rapidly evolving field.