Research
LifeSim: Long-Horizon User Life Simulator for Personalized Assistant Evaluation
Proposes LifeSim, a user simulator grounded in the Belief-Desire-Intention (BDI) model operating within physical environment contexts, generating coherent long-horizon life trajectories for evaluating personalized AI assistants. Existing benchmarks fail to capture real-world cognitive state complexity and external context dynamics. Provides a methodology for evaluating assistants that must maintain persistent user models across extended interactions — directly relevant to memory-augmented agent design.
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