YoonMyung Kim
Papers
2
Total Citations
5
H-Index
2
About
YoonMyung Kim’s research bridges the critical intersection of gerontechnology, human-robot interaction, and assistive robotics, with a focus on enhancing quality of life for aging populations. Her most cited work, “Understanding Technology Anxiety by the Interaction between Social Support and Educational Context” (2021, 3 citations), provides foundational insights into how family support and educational environments jointly influence technology adoption among Korean older adults without dementia—a study that underscores the psychosocial barriers to digital inclusion. More recently, Kim has advanced the field of wearable robotics with “Multivariable analysis for predicting lower limb muscular strength with a hip-joint exoskeleton” (2024, 2 citations), where she developed a novel predictive model using the Bot Fit exoskeleton to assess muscular strength in young, healthy individuals. This work demonstrates her ability to translate biomechanical data into practical tools for injury prevention and performance optimization. By combining rigorous statistical analysis with user-centered design, Kim’s contributions are shaping how assistive technologies can be tailored to diverse populations, from older adults facing technology anxiety to athletes seeking precision training. Her growing citation record reflects the timeliness and relevance of her interdisciplinary approach.
Research Focus
Key Achievements
Top Papers
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