ADHD–AI Performance Patterns

Definition

ADHD–AI Performance Patterns 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

ADHD–AI Performance Patterns 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

Which AI interaction patterns improve performance for people with ADHD across attention, initiation and working memory?

Hypotheses

Short action chunks and visible progress will improve completion more than conversational encouragement alone.

Proposed methods

participatory design; within-person studies; accessibility testing; longitudinal diaries; mixed-method pilots; subgroup analysis; 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

neurodivergent people; clinicians; educators; families; disability advocates; employers; accessibility specialists; AI developers; ADHD advocates; executive-function coaches