This content originally appeared on NN/g latest articles and announcements and was authored by Raluca Budiu
Summary: A digital twin is a genAI-based model of a particular individual that can be used to predict both individual and population-level preferences and behaviors.
Let’s face it: research with real users takes time. Recruiting participants, collecting data, and waiting for results are often the most time-consuming stages of the research process. One of the most exciting and promising avenues for improving efficiency across domains —including user research — is the use of generative AI .
Can research be made faster or more scalable with AI? Elsewhere, I’ve outlined the types of studies our field must undertake to understand how generative AI can support UX and behavioral research. Today, I focus on one particularly promising — and sensitive —direction: simulating human behavior using AI models.
What Is a Digital Twin?
A digital twin is a generative model — typically based on a large language model (LLM) — that attempts to act as a proxy for a particular person. This model can respond to new questions or situations in roughly the same way the individual would.
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This content originally appeared on NN/g latest articles and announcements and was authored by Raluca Budiu
Raluca Budiu | Sciencx (2025-08-01T17:00:00+00:00) Digital Twins: Simulating Humans with Generative AI. Retrieved from https://www.scien.cx/2025/08/01/digital-twins-simulating-humans-with-generative-ai/
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