Tony W Li

University of Washington

Papers

2

Total Citations

8

H-Index

1

About

Tony W. Li is a pioneering researcher at the intersection of human-robot interaction and adolescent mental health. His work centers on leveraging social robots as scalable, accessible tools for psychological support, particularly during crises like the COVID-19 pandemic. Li’s most cited study, “Tell Me About It” (2023, 7 citations), demonstrates that self-disclosure to a social robot can significantly reduce stress in adolescents, highlighting the potential of digital robots to deliver mental health interventions remotely when in-person care is limited. In “Share with Me” (2022, 1 citation), he further explores how robots can ethically collect sensitive mental health data, addressing critical design and privacy considerations. Though early in his career, Li’s research is already shaping conversations around technology-mediated therapy, offering a novel pathway to scale mental health support for vulnerable populations. His work is notable for its timely relevance, combining rigorous empirical methods with a compassionate focus on youth well-being. Li’s contributions are poised to influence both the design of empathetic AI systems and the future of digital mental health care.

Research Focus

Key Achievements

1
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Tell Me About It
7 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: University of Washington

Top Papers

  1. 1
    Tell Me About It
    7 citations · 2023
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago