Senzhong Gan
Papers
1
Total Citations
65
H-Index
1
About
Senzhong Gan is a leading researcher in human-robot interaction, with a particular focus on the social and affective dimensions of robotic design. His work explores how the auditory characteristics of social robots—specifically, different types of synthetic voices—influence human emotional responses and acceptance across diverse application fields, including healthcare, education, and service industries. His most-cited paper, "Effects of Different Types of Social Robot Voices on Affective Evaluations in Different Application Fields" (2020), has garnered 65 citations, establishing a foundational framework for understanding voice-driven user experience in robotics. Gan’s contributions are pivotal in bridging the gap between technical engineering and psychological perception, offering actionable insights for designing more empathetic and context-aware robots. By systematically examining how voice pitch, tone, and naturalness affect trust and comfort, his research directly informs the development of socially intelligent machines that can better integrate into everyday human environments. His work is widely referenced by scholars and practitioners aiming to enhance human-robot collaboration, making him a key voice in the evolving field of social robotics.
Research Focus
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Top Papers
- 1