The Study Gremlin Cognitive Workflow: A Dual-Channel Architecture for Real-Time Distraction Processing in ADHD-Like Cognition

The Study Gremlin Cognitive Workflow: A Dual-Channel Architecture for Real-Time Distraction Processing in ADHD-Like Cognition | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article The Study Gremlin Cognitive Workflow: A Dual-Channel Architecture for Real-Time Distraction Processing in ADHD-Like Cognition kshitij dubey This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8158107/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Learners with ADHD-like attentional profiles often experience unstable engagement driven by novelty seeking, rapid attentional switching, and intrusive curiosity spikes. Existing productivity frameworks largely rely on monotasking, suppression of distraction, or rigid environmental control, which frequently evoke reactance and disengagement. This paper introduces the Study Gremlin Cognitive Workflow (SGCW), a dual-channel architecture designed to process distraction events in real time by routing them to an external agent with minimal delay. The workflow leverages cognitive offloading, micro-reward alignment, executive-function scaffolding, and redirection timing informed by reinforcement-learning principles. We provide an expanded theoretical grounding, formal workflow specification, probabilistic modeling of attention states using Markov processes, and a system-level architecture enabling implementation. A preliminary N=1 feasibility observation and a small simulation-based study suggest substantial gains in effective time-on-task and question-solving throughput. The paper concludes with limitations, ethical considerations, and a structured research agenda. Cognitive Neuroscience ADHD-like cognition attention modeling distraction processing cognitive workflow executive function scaffolding cognitive offloading dual-channel architecture reinforcement learning dynamics Markov attention model human–computer interaction Full Text Additional Declarations The authors declare no competing interests. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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