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cs.HC2026
Rethinking Opinion Measurement Interfaces for Human-in-the-Loop Optimization
Changkun Ou, Sven Mayer, Daniel Buschek +1
Human-in-the-loop optimization refers to systems that present choices to a human decision-maker and query their judgment to optimize system parameters iteratively. The user interfa…
cs.AI2026
Progressive Autonomy as Preference Learning: A Formalization of Trust Calibration for Agentic Tool Use
Changkun Ou
We formalize trust calibration for agentic tool use (deciding when an automated agent's proposed action may execute autonomously versus require human approval) as a preference-lear…