Neurodivergent-Inclusive Software Design: Cognitive-Aware Development Practices for Human-Centered AI Interfaces
Keywords:
Cognitive accessibility, Neurodiversity-informed UI/UX, Human-centered AI, Biometric usability testing, Eye-tracking and EEG in design research, Inclusive interface design, ADHD and autism in HCI, Cognitive load reduction, Accessible software design practices, EU digital accessibility policies, Ethical AI design, AI scheduling assistant redesign, Legal compliance in software accessibility, Neurodivergent user experience.Abstract
As artificial intelligence (AI) systems become increasingly integrated into daily life, the need for inclusive, cognitively aware design has grown more urgent. This paper introduces a neurodivergent-inclusive framework for the development of human-centered AI interfaces, particularly addressing the needs of users with attention-deficit/hyperactivity disorder (ADHD) and autism spectrum disorder (ASD). Drawing on principles of neurodiversity and universal design, we evaluate cognitive accessibility gaps in current UI/UX practices. Through biometric methodologies—including eye-tracking and electroencephalography (EEG)—we analyze user responses to interface stimuli, identifying design elements that contribute to cognitive overload or improved usability. A case study involving the redesign of an AI-powered scheduling assistant demonstrates how adaptive interface features can enhance engagement, clarity, and autonomy for neurodivergent users. The paper concludes with a set of policy-aligned guidelines rooted in EU disability inclusion frameworks, offering actionable recommendations for ethical, legally compliant, and cognitively inclusive software design.
