OCD-Sensitive AI Interaction

Definition

OCD-Sensitive AI Interaction 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

OCD-Sensitive AI Interaction 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 can AI avoid reinforcing compulsive checking, reassurance seeking or perfectionism?

Hypotheses

Bounded confirmation and uncertainty-tolerant language will reduce repeated checking compared with unrestricted reassurance.

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; OCD clinicians; lived-experience advisory groups