Yuanjin Zhou

The University of Texas at Austin

Papers

2

Total Citations

73

H-Index

2

About

Yuanjin Zhou is a leading voice at the intersection of gerontechnology, human-robot interaction, and AI ethics. Her research critically examines how artificial companion robots can address the growing crisis of social isolation among older adults, while rigorously probing the ethical boundaries of such technologies. In her highly influential 2023 paper, "Companion robots to mitigate loneliness among older adults," Zhou led a large-scale study that revealed nuanced public perceptions regarding the potential benefits and risks of deception inherent in robotic companionship—a work that has garnered 62 citations and sparked vital discourse in the field. She further advanced policy conversations with her 2023 study on "AI Companion Robot Data Sharing," which brought the underrepresented interests of older adults to the forefront of AI data protection debates. By centering the voices of end-users and exposing the ethical dilemmas of emotional AI, Zhou’s work provides a critical framework for designing technologies that genuinely serve aging populations without compromising autonomy or trust. Her scholarship is essential reading for anyone developing or deploying social robots in care settings.

Research Focus

Key Achievements

2
H-Index
2
Papers
73
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Companion robots to mitigate loneliness among older adults: Perceptions of benefit and possible deception
62 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: The University of Texas at Austin

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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