Bu-Fang Chang
Papers
2
Total Citations
34
H-Index
2
About
Bu-Fang Chang is a researcher at the forefront of human-robot interaction, with a focused interest in how social robots can build meaningful, trusting relationships with people. Her work centers on the psychological dynamics of human-humanoid interaction, particularly the roles of intimacy, proactivity, and communication style in shaping user trust and rapport. In her most-cited study (2022, 32 citations), Chang demonstrated that a robot’s proactive behavior and the level of intimacy it fosters significantly influence trust—a critical insight for designing robots that feel more like companions than tools. Her earlier work (2021) further explored how different communication approaches affect perceived intimacy, laying groundwork for more natural, emotionally resonant robot interactions. By bridging social psychology and robotics, Chang’s research offers practical guidance for developing service robots in healthcare, education, and hospitality. Her contributions are especially valuable as robots become more integrated into daily life, where trust is essential for acceptance and effective collaboration.
Research Focus
Key Achievements
Top Papers
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