Ching-Ju Yu
Papers
1
Total Citations
4
H-Index
1
About
Ching-Ju Yu is a researcher whose work lies at the intersection of human-robot interaction and gerontechnology, with a particular focus on how older adults learn to accept and engage with robotic systems. Her most cited study, "Can Older Adults’ Acceptance Toward Robots Be Enhanced by Observational Learning?" (2020), has garnered 4 citations and explores a critical question in aging and technology: whether watching others interact with robots can reduce anxiety and improve willingness to adopt assistive technologies. This work contributes to the growing field of socially assistive robotics, where Yu investigates how observational learning—a core psychological mechanism—can bridge the gap between technological capability and user readiness. By targeting the specific needs of an aging population, her research has implications for designing more intuitive, less intimidating robotic interfaces that promote independence and quality of life. Yu’s findings offer practical insights for engineers and caregivers alike, suggesting that simple, low-cost interventions like peer modeling may be as effective as complex technical adjustments. Her work is a valuable resource for students and researchers interested in the human factors of robotics, particularly in contexts where user acceptance is the primary barrier to adoption.
Research Focus
Key Achievements
Top Papers
- 1