User-Controlled Assistance

Definition

User-Controlled Assistance examines the mechanisms, conditions and outcomes through which this factor shapes human cognition, learning, collaboration or sustainable performance in AI-supported settings.

Why this matters

User-Controlled Assistance may materially affect human capability, independence, confidence, safety and productivity. Poorly designed assistance can create hidden costs even where short-term output appears to improve.

Research questions

What forms of user control improve outcomes without imposing excessive configuration burden?

Hypotheses

Simple support modes plus momentary override will produce more trust and better outcomes than granular permanent settings.

Proposed methods

multi-arm assistance-level experiments; longitudinal usage analysis; skill-retention tests; preference elicitation; A/B testing; pre-registered analysis; active comparison; subgroup and accessibility analysis; delayed retention or longitudinal follow-up; adverse-effect capture; reproducibility testing; participant debrief

Stakeholders and beneficiaries

end users; UX researchers; AI developers; product managers; safety teams; employers; regulators; AI safety evaluators; product accessibility leads