Kaixin Ma

Carnegie Mellon University

Papers

1

Total Citations

37

H-Index

1

About

Kaixin Ma is a leading researcher in affective computing and human-centered AI, with a focus on understanding and supporting the emotional well-being of aging adults. Her most-cited work introduces *ElderReact*, a pioneering multimodal dataset designed for recognizing emotional responses in older populations—a group historically underrepresented in emotion recognition research. This foundational contribution addresses a critical gap in the field, as most prior studies have centered on younger demographics, limiting the applicability of AI systems in healthcare and assistive robotics for the elderly. With over 37 citations, the *ElderReact* dataset has become a key resource for advancing inclusive, real-world emotion AI. Ma’s research integrates computer vision, psychology, and gerontechnology, aiming to develop intelligent agents and social robots that can better interpret and respond to the nuanced emotional expressions of aging adults. Her work is not only technically rigorous but also deeply human-centered, with direct implications for improving quality of life in elder care settings. Through her efforts, Ma is helping to shape a future where AI systems are more equitable, empathetic, and effective across the full spectrum of human experience.

Research Focus

Key Achievements

1
H-Index
1
Papers
37
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
ElderReact: A Multimodal Dataset for Recognizing Emotional Response in Aging Adults
37 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Carnegie Mellon University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago