LoveSims

Generative Agent-Based Modeling for Dating Simulations

Why?

We set out to develop a tool for exploring how people think, feel, and adapt within everyday relationship scenarios. Rather than optimizing for perfect matches, LoveSims uses simulated interactions and structured self-reflection to help users examine their responses and perspectives. By modeling the complexity of real-life dynamics, we aim to support a deeper understanding of ourselves and our patterns of connection.

CHI Paper / Poster / Demo

Created with Xuyang (Charlotte) Zhu, Xingyi Zhang, and Andrew Park

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