Pei-Ling Yang

National Taiwan University

Papers

2

Total Citations

162

H-Index

2

About

Pei-Ling Yang is a leading researcher in human-robot interaction, with a particular focus on the aging population and technology acceptance. Her work bridges gerontology and robotics, exploring how older adults perceive, interact with, and ultimately accept assistive robots. In a landmark mixed-methods study (87 citations), Yang identified key design features that enhance robot acceptance among seniors, drawing on socioemotional selectivity theory to explain how motivational shifts in later life shape technology preferences. Her 2019 investigation into age differences in attitudes toward robots (75 citations) broke new ground by measuring both explicit and implicit attitudes, revealing that older adults harbor more negative implicit biases even after direct interaction—a finding with profound implications for robot design and deployment in care settings. By systematically unpacking the psychological barriers to adoption, Yang has provided an evidence-based roadmap for creating robots that older adults will actually welcome into their lives. Her work is essential reading for anyone designing technology for an aging society.

Research Focus

Key Achievements

2
H-Index
2
Papers
162
Total Citations
81
Avg Citations/Paper
🏆 Most Cited Paper
Identifying Features that Enhance Older Adults’ Acceptance of Robots: A Mixed Methods Study
87 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: National Taiwan University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago