Autism–AI Interaction Patterns

Definition

Autism–AI Interaction 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

Autism–AI Interaction 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 interaction characteristics support predictability, clarity and agency for autistic users?

Hypotheses

Consistent structure and explicit interpretation choices will reduce interaction ambiguity and stress.

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; autistic self-advocates; sensory-accessibility designers