Catherine Lai
Papers
2
Total Citations
14
H-Index
2
About
Catherine Lai is a researcher working at the intersection of spoken dialogue systems, affective computing, and healthcare technology. Her work explores how machines can better understand and interact with humans through natural conversation, with a particular focus on leveraging speech and dialogue as diagnostic and communicative tools. Among her most notable contributions is her research on using spontaneous dialogue with proactive robotic listeners to detect Alzheimer's dementia, a pioneering approach that bridges computer science and clinical healthcare. This work, which has garnered 11 citations since its 2022 publication, demonstrates how conversational AI can serve as a non-invasive screening tool for cognitive decline — an increasingly vital capability as global populations age. Lai has also advanced the field of emotionally intelligent dialogue systems through her work on anticipatory affective modeling. Her 2023 paper proposes a forward-looking architecture that enables spoken dialogue systems to predict users' future emotional reactions before they occur, moving systems beyond passive responsiveness toward genuinely human-like interaction. Collectively, Lai's research pushes the boundaries of what conversational AI can achieve, combining technical innovation with meaningful real-world applications in health monitoring and empathetic human-computer interaction.
Research Focus
Key Achievements
Top Papers
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- 2