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Open access
Jul 2026
Linguistic Uncertainty Markers for Trust Calibration in AI-Assisted Decision-Making
While participants rated hedged and unhedged AI as equally trustworthy and likely to be correct, they were significantly less likely to follow hedged advice in a binary choice, and how linguistic markers can be used to calibrate user reliance to model certainty is discussed.
Laura Spillner, Johanna Rockstroh, Nina Wenig et al.
· International Conference on... · 0 citations