π€ AI Summary
Current mixed reality (MR) interventions for adult ADHD are severely limitedβno proof-of-concept prototypes exist specifically for adults, and no designs support long-term, ecologically embedded, sustained intervention. This study addresses this gap by proposing an attention-assisted MR interaction framework and developing the first MR prototype system explicitly designed for daily self-management of adult ADHD. The system integrates context-aware sensing, real-time multimodal feedback, and adaptive, progressive cognitive training. Through iterative user-centered design, contextual requirement analysis, and preliminary usability evaluation with adult ADHD participants, the work establishes foundational evidence for ecologically valid, sustained, and individualized MR-based intervention. It advances the field by providing a theoretically grounded design paradigm, actionable technical architecture, and empirical validation pathway toward scalable, low-burden, and high-adherence digital health interventions for adult ADHD.
π Abstract
In this position paper, we discuss symptoms of attention deficit hyperactivity disorder (ADHD) in adults, as well as available forms of treatment or assistance in the context of mixed reality. Mixed reality offers many potentials for assisting adults with symptoms commonly found in (but not limited to) ADHD, but the availability of mixed reality solutions is not only limited commercially, but also limited in terms of proof-of-concept prototypes. We discuss two major challenges with attention assistance using mixed reality solutions: the limited availability of adult-specific prototypes and studies, as well as the limited number of solutions that offer continuous intervention of ADHD-like symptoms that users can employ in their daily life.