Sung-En Chien
Papers
5
Total Citations
208
H-Index
4
About
Sung-En Chien is a prominent researcher specializing in human-robot interaction, aging, and the psychological dimensions of robot acceptance. His work sits at the critical intersection of gerontology and robotics, addressing one of society's most pressing challenges: how to design and deploy robotic technologies that genuinely serve aging populations. Chien's most influential contributions examine how older adults perceive and relate to robots. His 2019 studies — collectively amassing over 160 citations — revealed key factors shaping robot acceptance among elderly users, including age-related differences in ease of use, curiosity, and implicit negative attitudes. These findings have meaningfully informed how researchers and designers approach assistive robotics for elder care. His investigation of the "uncanny valley" effect across age groups further deepened understanding of how human-likeness in robots is perceived differently depending on developmental stage, extending this line of inquiry to children in subsequent research. What distinguishes Chien's scholarship is his methodological rigor, blending mixed methods, implicit attitude measures, and observational learning paradigms to capture nuanced psychological responses to robots. His research ultimately advocates for more inclusive, user-centered robot design — ensuring that those who stand to benefit most from robotic assistance are not inadvertently alienated by it.
Research Focus
Key Achievements
Top Papers
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- 3Age-Related Differences in the Uncanny Valley Effect35 citations · 2020
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