Tzu‐Min Tseng
Papers
2
Total Citations
89
H-Index
2
About
Tzu-Min Tseng is a leading researcher in human-robot interaction, with a focus on how social robots can be designed to communicate more naturally and effectively with people. Her work centers on the critical role of non-verbal cues—particularly voice and gesture—in shaping how humans perceive and emotionally respond to robots. In her highly cited 2020 study (65 citations), Tseng systematically examined how different types of synthetic robot voices influence affective evaluations across various application fields, from healthcare to education. Her 2019 paper (24 citations) further explored how the combination of robot voice and gesture types affects the attribution of personality traits to robots, such as warmth, competence, and sociability. These contributions have practical implications for designing robots that are more trustworthy, engaging, and context-appropriate. Tseng’s research is notable for bridging engineering, psychology, and design, offering evidence-based guidelines for creating socially intelligent machines. Her work is essential reading for anyone interested in the subtle but powerful ways robots can adapt their communication to improve human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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