Young Sun Kim

Kyung Hee University

Papers

2

Total Citations

5

H-Index

1

About

Young Sun Kim is a leading researcher in human-robot interaction and assistive robotics, with a primary focus on developing intelligent care robots to address global labor shortages and improve quality of life for older adults and care workers. Her major contributions include the design and usability evaluation of a smart transfer-assistive robot with dual arms, which aims to reduce physical strain on caregivers while ensuring safe patient handling. This work, published in 2023, has already garnered 4 citations, reflecting its timely relevance. Kim also investigates the critical factors influencing older adults' acceptance of care robots, particularly technical aspects such as ease of use and reliability, as highlighted in her 2023 study on acceptance factors. Her research bridges engineering and gerontology, providing actionable insights for robot design that prioritize user-centered functionality. By addressing both the technical efficacy and social adoption of assistive robots, Kim’s work is pivotal in shaping the future of eldercare technology. Her findings are essential reading for students and researchers in robotics, human factors, and aging studies, offering a roadmap for creating robots that are not only capable but also welcomed by their intended users.

Research Focus

Key Achievements

1
H-Index
2
Papers
5
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Usability study of a smart transfer-assistive robot with dual arms for care workers
4 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Kyung Hee University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago