PresenceBench: An Exploratory Evaluation of Large Language Model Adaptation to User State
[Interakcja człowiek–komputer] Autorzy: Peña Arroyo Gallego, Mauro Ruiz Moreno, Alejandro Acien i 2 więcej
Presence-aware intelligence is the capacity of an AI system's intelligence layer to adapt appropriately to the functional state of the person it serves (here readiness, flow, and stability) while preserving task quality and safety. We introduce PresenceBench, an instrument for measuring it. PresenceBench evaluates how the intelligence layer uses a supplied state, not how that state is sensed, and breaks the capability into measurable properties. Two are tested here. Receptivity: does the model take up the state and give a better response than with no signal? Specificity: does any improvement depend on the correct state, rather than on extra structured context? A third, adaptation across states, is a required endpoint not measured in this release. A five-arm causal design answers both questions, against each model's own baseline and an equally structured mismatched-state control, scored …
- Kategoria arxiv
- cs.HC
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- Interakcja człowiek–komputer