ANA: AI-Powered Framework for Modeling Psychological Parts, Healing Progress, and Adaptive Emotional Support

ANA: AI-Powered Framework for Modeling Psychological Parts, Healing Progress, and Adaptive Emotional Support | 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 Article ANA: AI-Powered Framework for Modeling Psychological Parts, Healing Progress, and Adaptive Emotional Support Esraa A. Afify, Mariam Elbishbeashy, Laura Lucas, Aya Hisham, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9050255/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract In this paper, a unique AI-based technique presented called ANA for creating internal psychological components with Internal Family Systems Theory as its foundation. ANA has the ability to track emotional changes and provide adaptive emotional support. By mapping emotions to 18 pre-defined internal characters with interactive 3D avatars, and creating tailored healing plans for users (which modify over time), ANA utilizes multimodal emotion-recognition in a collective representation. In addition, ANA features a virtual character called Guider to help facilitate a safe flow of communication and progress tracking, along with a comprehensive user interface for exploring emotions. Validation of the system has been accomplished through experimental results show high levels of unimodal emotion recognition (88-93% accuracy) with multiple methods used to detect emotional states. The accuracy of multimodal fusion is 95%, while the confidence of character identification is 99.6%. Physical sciences/Engineering Physical sciences/Mathematics and computing Biological sciences/Psychology Social science/Psychology Internal Family Systems multimodal AI emotional healing character-based agents adaptive progress tracking 3D avatars Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Reviews received at journal 18 May, 2026 Reviewers agreed at journal 14 May, 2026 Reviews received at journal 10 May, 2026 Reviewers agreed at journal 10 May, 2026 Reviewers invited by journal 06 May, 2026 Editor invited by journal 11 Mar, 2026 Editor assigned by journal 07 Mar, 2026 Submission checks completed at journal 07 Mar, 2026 First submitted to journal 06 Mar, 2026 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-9050255","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":640134726,"identity":"5d80cddf-ef5b-4b62-8b12-0a7dba698818","order_by":0,"name":"Esraa A. 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