Karine Lan Hing Ting

Université de Technologie de Troyes

Papers

10

Total Citations

112

H-Index

7

About

Karine Lan Hing Ting is a researcher specializing in socially assistive robotics, human-robot interaction, and assistive technologies for aging populations. Her work sits at the intersection of robotics, gerontology, and participatory design, with a particular focus on developing and deploying robotic solutions that address the real-world challenges of eldercare. Her most significant contributions center on the CLARC project, a cognitive robot designed to assist geriatric doctors in conducting Comprehensive Geriatric Assessments (CGA) — a multidimensional diagnostic tool for personalizing elderly care. Accumulating over 50 citations across its iterations, this body of work demonstrates both sustained academic interest and practical relevance in an era of rapidly aging global populations. Lan Hing Ting consistently champions user-centered and co-design methodologies, integrating caregivers, elderly users, and medical professionals throughout the design process, as reflected in her living lab and cultural probe studies. Beyond robot development, she has contributed to evaluation frameworks such as AUSUS, which extends assessment criteria to include accessibility indicators. Her more recent work on long-term acceptance and real-world deployment in retirement homes underscores her commitment to translating research into lasting, meaningful impact for vulnerable populations. Her scholarship offers invaluable guidance for researchers navigating the complex social, ethical, and technical dimensions of assistive robotics.

Research Focus

Key Achievements

7
H-Index
10
Papers
112
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
CLARC: A Cognitive Robot for Helping Geriatric Doctors in Real Scenarios
20 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 34
🏛 Institutions: Université de Technologie de Troyes

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago