Yuting Xiao

Beijing Normal University

Papers

1

Total Citations

6

H-Index

1

About

Yuting Xiao is a pioneering researcher at the intersection of human-computer interaction and positive psychology, with a primary focus on leveraging conversational AI for mental health interventions. Her most influential work, a 2022 randomized control study on chatbot-delivered positive psychological interventions (PPIs), has garnered 6 citations and established a foundational framework for automated, accessible well-being support. Xiao’s major contribution lies in empirically validating that chatbots can effectively deliver PPIs—traditionally requiring human facilitators—by demonstrating significant improvements in user happiness and life satisfaction. This research bridges a critical gap between scalable technology and evidence-based psychological practices, offering a low-cost, stigma-free alternative for individuals unable to access traditional therapy. Beyond this flagship study, Xiao’s work explores how natural language processing and empathetic dialogue design can enhance user engagement and therapeutic outcomes. Her findings have practical implications for digital mental health platforms, particularly in underserved communities. By proving that AI-driven conversations can foster genuine psychological growth, Xiao has positioned herself at the forefront of a rapidly evolving field, where her research continues to shape the design of compassionate, effective digital interventions.

Research Focus

Key Achievements

1
H-Index
1
Papers
6
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Assessing the Effectiveness of Using Chatbots for Positive Psychological Intervention: A Randomized Control Study
6 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beijing Normal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago