Longitudinal Assistance Adaptation

Definition

Longitudinal Assistance Adaptation 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

Longitudinal Assistance Adaptation 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

How should support evolve as a user's skills, goals and circumstances change over months or years?

Hypotheses

Periodic re-baselining with explicit user review will outperform continuous opaque personalisation.

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