Yu-Fang Teh

Papers

Total Citations

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About

Yu-Fang Teh is a researcher in human-robot interaction (HRI), with a focus on designing socially intelligent robots that can engage naturally with people. Her work bridges robotics, psychology, and interaction design, exploring how abstract robots can express social attitudes like dominance and submissiveness to create meaningful human-robot relationships. In her most-cited paper (8 citations), she introduced the concept of "abstract robots with an attitude," demonstrating that even non-humanoid robots can evoke complex social responses through behavior alone. Teh also developed an observation scheme based on Laban notation (7 citations), providing designers with a richer, more systematic tool for analyzing robot movement and interaction quality—moving beyond traditional questionnaires. Her applied work includes designing a robot companion to engage children during car rides (6 citations), addressing the unique challenges of child passengers and improving family driving experiences. Though her citation counts are modest, Teh’s contributions are notable for their originality and interdisciplinary approach, offering foundational methods and insights that advance how we design and evaluate embodied intelligent agents.