Well-Being, AI, and Measurement Lab

Our Mission

The WAM Lab pioneers cross-disciplinary research at the nexus of well-being scholarship, advanced measurement methods, and cutting-edge AI conversational agent design. We aim to enhance human flourishing across individuals, organizations, and societies by understanding:

• The social, economic, and political drivers of subjective well-being—spanning personal life and public policy.
• The synergy between contemporary well-being models and classical notions like character strengths and vocational interests.
• The long-term psychological effects of interacting with AI conversational agents—from nurturing character virtues to supporting emotional health and adaptive behavior.

We integrate rigorous measurement frameworks with innovative techniques across disciplines:

• Latent class, multilevel, and time-based modeling to capture nuanced patterns in well-being over time and across contexts.
• Novel data science approaches—like video, voice, and sensor analytics—to understand human experience in real-world settings.
• The design and evaluation of AI conversational agents that not only deliver scalable, personalized interaction but also promote human well-being and moral growth, while carefully considering the potential psychological risks of AI engagement.

Recent Publications

From the lab

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