The Dynamic Intentional Alignment Research Program (DIARP): A Three-Layer Integrated Framework for Understanding Regulatory Fatigue Under Persistent Constraint

The Dynamic Intentional Alignment Research Program (DIARP): A Three-Layer Integrated Framework for Understanding Regulatory Fatigue Under Persistent Constraint | 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 Dynamic Intentional Alignment Research Program (DIARP): A Three-Layer Integrated Framework for Understanding Regulatory Fatigue Under Persistent Constraint Jumadil Awal This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-9448460/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 Regulatory fatigue the experience of accumulating exhaustion during sustained goal pursuit is a pervasive phenomenon that remains insufficiently explained by existing resource based and value-based models. This short communication introduces the Dynamic Intentional Alignment Research Program (DIARP), a three layer integrated framework for understanding how fatigue emerges under persistent constraint. The first layer, Dynamic Intentional Alignment Theory (DIAT), provides a formal meta-theoretical account proposing that fatigue arises from persistent misalignment between Intentional Direction (ID) and Affective Regulation (AR). The second layer presents computational evidence through two implementations: a spreadsheet simulation demonstrating non-zero equilibrium misalignment and an interactive tool (DRAM) for real-time parameter exploration. The third layer translates the mechanism into applied frameworks, including a three-stage universal protocol (HaE) and a contextual validation in Indonesian Islamic boarding schools (Pesantren). DIARP offers a coherent programmatic foundation for future research on regulatory fatigue, emphasizing temporal dynamics and internal coherence over static resource or cost models. regulatory fatigue self-regulation dynamic alignment DIAT HaE computational modeling Figures Figure 1 Figure 2 Figure 3 Figure 4 Figure 5 1. Introduction Human functioning rarely unfolds under conditions free from constraint. Across educational, organizational, and personal domains, individuals operate under persistent structural demands that require continuous regulatory adjustment (Carver & Scheier, 1998 ). A persistent empirical anomaly motivates this research program: individuals frequently maintain goal-directed behavior while simultaneously experiencing increasing fatigue, strain, or burnout. Students preparing for examinations, employees under sustained workload, and individuals engaged in long-term personal development all exhibit this paradox behavioral persistence coexists with progressive internal degradation (Tello et al., 2025 ). Existing theoretical frameworks provide only partial explanations. Resource-based models attribute fatigue to the depletion of limited regulatory capacity (Baumeister et al., 1998 ; Hobfoll, 1989 ). Value based models conceptualize effort allocation as cost benefit computation (Kurzban et al., 2013 ; Shenhav et al., 2013 ). While influential, these frameworks primarily explain disengagement rather than the coexistence of persistence and fatigue. This short communication introduces the Dynamic Intentional Alignment Research Program (DIARP), a three layer integrated framework that addresses this gap. DIARP shifts attention from the quantity of resources or effort to the structure of the regulatory system itself. The core mechanism across all layers is simple: regulatory fatigue emerges from the persistence of misalignment between Intentional Direction (ID) and Affective Regulation (AR) under persistent constraint (Author, 2026a ). 2. The Core Mechanism Before presenting the three layers, the core mechanism underlying all components of DIARP is illustrated in Fig. 1 . 3. Layer 1: Dynamic Intentional Alignment Theory (DIAT) DIAT provides the meta-theoretical foundation of DIARP. It proposes that sustainable adaptive functioning under persistent constraint depends on Dynamic Intentional Alignment the degree to which value-endorsed intentional direction remains coherently integrated with affective regulation. The theory specifies four core constructs: Construct Definition Constraint Structural boundary conditions shaping action possibilities Dynamic Intentional Alignment Integration of ID with AR under constraint Regulatory Coherence Temporal stability of integration across time Regulatory Fatigue Energetic depletion from sustained misalignment The central proposition is: Sustainable adaptive functioning under persistent constraint depends on Dynamic Intentional Alignment, which supports Regulatory Coherence and mitigates Regulatory Fatigue. When alignment is maintained, the system moves toward Regulatory Coherence. When alignment deteriorates, even small but persistent discrepancies accumulate into Regulatory Fatigue independent of constraint magnitude or endorsement strength (Author, 2026a ). DIAT further introduces Dynamic Re-Alignment as the recovery process correcting temporary misalignment before it becomes chronic, involving both locomotion (moving toward alignment) and assessment (evaluating whether alignment has been achieved). The core causal architecture is illustrated in Fig. 2 . A stabilized articulation of DIAT has been deposited as a foundational document (Author, 2026b ). 4. Layer 2: Computational Evidence The core mechanism is validated through two complementary computational implementations. 4.1. Spreadsheet Simulation A minimal discrete-time simulation (Author, 2026b ) operationalizes the dynamic misalignment mechanism. With parameters α = 0.3 (adjustment rate), γ = 0.1 (sensitivity to constraint), and C = 0.5 (constraint intensity), the simulation demonstrates that misalignment stabilizes at a non-zero equilibrium, and fatigue accumulates linearly even when behavior remains stable. 4.2. Interactive DRAM Tool The DRAM (Dynamic Misalignment Mechanism of Regulatory Fatigue) tool translates the formal model into an interactive web-based application (Author & Co-author, 2026 ). Users can manipulate parameters in real-time (initial ID, initial AR, adjustment rate α, constraint Δ, iterations) and observe the resulting trajectories of ID, AR, and fatigue. The tool is publicly available and the source code is deposited on Zenodo. The mathematical formulation shared by both implementations is presented in Fig. 3 . 5. Layer 3: Applied Frameworks The mechanism is translated into practical strategies through two operational frameworks. 5.1. HaE: Universal Application The HappyAwalEnd (HaE) framework (Author, 2026c ) provides a structured, human-centered protocol for managing regulatory fatigue during sustained goal pursuit. It consists of three sequential yet iterative stages, illustrated in Fig. 4 . The framework has potential applications across organizational, educational, and clinical settings, particularly in contexts characterized by continuous performance demands where disengagement is not a viable option (Author, 2026c ). 5.2. HaE: Pesantren-Based Validation A contextual validation of the HaE framework is being developed in collaboration with a research center at a Malaysian university, grounded in the lived realities of Indonesian Islamic boarding schools (pesantren). The framework synthesizes classical philosophical wisdom (Al-Ghazali, 2010 ; Wang, 1963 ) with contemporary psychological theories (Csikszentmihalyi, 1990 ; Lipton, 2005 ; Pavlov, 1927 ; Taleb, 2012 ). Central to this validation is an indigenous wisdom from a traditional pesantren teacher: "Kamu harus nyambung antara akal dan hati" (You must connect the mind and the heart). This instruction aligns precisely with DIAT's core proposition that sustainable functioning requires integration between intentional direction ( akal ) and affective regulation ( hati ). 6. Overall DIARP Architecture The three layers form an integrated, non-linear, and recursive system. The overall architecture is presented in Fig. 5 . Each component shares the same core mechanism but operates at different levels of abstraction: Component Level Contribution DIAT Meta-theoretical Formal explanation of why fatigue emerges Spreadsheet Simulation Computational Minimal proof-of-principle DRAM Tool Computational Interactive exploration HaE (Universal) Applied 3-stage practical guide HaE (Pesantren) Applied Contextual validation 7. Current Status and Future Directions The current status of each DIARP component is summarized below: Component Status DIAT (foundational document) Published (Zenodo) Spreadsheet Simulation Under review DRAM Tool Under editorial review HaE (Universal) Editorial assignment HaE (Pesantren) Collaborative revision Future directions include: (1) empirical validation using experience sampling methods, (2) development of digital tools supporting HaE practices, (3) cross-cultural adaptation of the framework, and (4) integration with organizational-level interventions. 8. Conclusion DIARP offers a coherent programmatic foundation for understanding regulatory fatigue under persistent constraint. By distinguishing between behavioral persistence and regulatory coherence, and by formalizing fatigue as accumulated misalignment rather than resource depletion, the framework provides a new lens for interpreting fatigue-related phenomena. The three layers meta-theory, computational evidence, and applied frameworks work in concert to explain why fatigue emerges, demonstrate how it accumulates, and provide practical strategies for managing it. DIARP invites further theoretical and empirical development across organizational, educational, and clinical contexts. Declarations Author Contribution J.A. conceptualized the study, developed the theoretical framework, and wrote the manuscript. The author reviewed and approved the final version. Acknowledgement The author expresses sincere gratitude to Abdul Aziz for his contribution to the development of the DRAM simulation tool cited in this manuscript. References Al-Ghazali, A. H. (2010). Kimiya-yi Sa’adat . Najah Awadh, Ed.). Dar al-Mokattam. Author (2026a). Dynamic Intentional Alignment Theory (DIAT): A foundational clarification. https://doi.org/https://doi.org/ 10.5281/zenodo.18717066 Author (2026b). When Goals Persist but Alignment Fails: A Simulation-Based Illustration of Regulatory Fatigue . https://doi.org/10.21203/rs.3.rs-9050239/v1 Author. (2026c). Why we continue while breaking: The HappyAwalEnd (HaE) framework for managing regulatory fatigue in sustained goal pursuit . Manuscript Submitted for Publication. Author, & Co-author. (2026). &. DRAM: An interactive simulation tool for modeling regulatory fatigue. https://doi.org/ https://doi.org/10.5281/zenodo.19319097 Baumeister, R. F., Bratslavsky, E., Muraven, M., & Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? Journal of Personality and Social Psychology , 74 (5), 1252–1265. https://doi.org/10.1037/0022-3514.74.5.1252 Carver, C. S., & Scheier, M. F. (1998). On the Self-Regulation of Behavior. On the Self-Regulation of Behavior . https://doi.org/10.1017/cbo9781139174794 Csikszentmihalyi, M. (1990). Flow-The Psychology of optimal experience . Harper & Row. Hobfoll, S. E. (1989). Conservation of Resources: A New Attempt at Conceptualizing Stress. American Psychologist , 44 (3), 513–524. https://doi.org/10.1037/0003-066X.44.3.513 Kurzban, R., Duckworth, A., Kable, J. W., & Myers, J. (2013). An opportunity cost model of subjective effort and task performance. Behavioral and Brain Sciences , 36 (6), 661–679. https://doi.org/10.1017/S0140525X12003196 Lipton, B. H. (2005). The Biology of Belief: Unleashing the Power of Consciousness, Matter & Miracles (1st ed.). Mountain of Love. Pavlov, I. P. (1927). CONDITIONED REFLEXES: AN INVESTIGATION OF THE PHYSIOLOGICAL ACTIVITY OF THE CEREBRAL CORTEX . G V Anrep. Tran.). Shenhav, A., Botvinick, M. M., & Cohen, J. D. (2013). The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function. Neuron , 79 (2), 217–240. https://doi.org/10.1016/j.neuron.2013.07.007 Taleb, N. N. (2012). Antifragile: things that gain from disorder . Random House Trade Paperbacks. Tello, M. E. C., Boraita, R. J., Ibort, E. G., & Torres, J. M. D. (2025). Burnout syndrome in Spanish university lecturers: prevalence and relationship with lifestyle habits and physical and mental health indicators. BMC Psychology , 13 (1), 935. https://doi.org/10.1186/s40359-025-03287-7 Wang, Y. (1963). In Chan (Ed.), Instructions for Practical Living and Other Neo-Confucian Writings by Wang Yang-ming . W. tsit. Additional Declarations No competing interests reported. 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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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-9448460","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":626264861,"identity":"dd9d0c71-4449-4afd-abc3-509418e9ff04","order_by":0,"name":"Jumadil Awal","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+0lEQVRIiWNgGAWjYBACxgYgwWNgASSZGxgbKkA0cwMxWiTATMaGMyAtjPi1gAEPA1RLYxvcGNyAeUZ24oc3BRLyBscPNn6cOa82mr8dqOVHxTbcDpuRu1lyjoGE4YYzic2SG7cdz51xGGhdz5nb+LRskAb6hXHbgcQGyYfbjuU2ALUwM7bh1bL5N1CL/bbzD5t/PpxzLHc+EVq2gWxJ3HYjsU1yY0NN7gaCWnrebrME+iV5/42HbZYzjh3I3QjUchCfXwzbczffePPHxnZmf/Lhmz01dbnzzh8++OBHBR4tDaj8w2DyAE71QCCPxq/Dp3gUjIJRMApGKAAA8hFkYjQEH/4AAAAASUVORK5CYII=","orcid":"","institution":"Independen Researcher","correspondingAuthor":true,"prefix":"","firstName":"Jumadil","middleName":"","lastName":"Awal","suffix":""}],"badges":[],"createdAt":"2026-04-17 11:23:39","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-9448460/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-9448460/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":107535281,"identity":"528c4ab1-0d4a-4d55-9375-dc6d8f6775dc","added_by":"auto","created_at":"2026-04-22 11:11:46","extension":"png","order_by":1,"title":"Figure 1","display":"","copyAsset":false,"role":"figure","size":147944,"visible":true,"origin":"","legend":"\u003cp\u003eCore mechanism of DIARP. Intentional Direction (ID) and Affective Regulation (AR) interact under persistent constraint. Misalignment (M) is defined as the absolute discrepancy between ID and AR. Regulatory Fatigue (F) accumulates as the sum of misalignment across time.\u003c/p\u003e","description":"","filename":"figur1.png","url":"https://assets-eu.researchsquare.com/files/rs-9448460/v1/390409385dc60390d7a46af7.png"},{"id":107535290,"identity":"cc129d1e-76f5-426e-b34c-1a1e09bf0fd8","added_by":"auto","created_at":"2026-04-22 11:11:51","extension":"png","order_by":2,"title":"Figure 2","display":"","copyAsset":false,"role":"figure","size":116274,"visible":true,"origin":"","legend":"\u003cp\u003eCore causal architecture of DIAT. Persistent constraint influences Dynamic Intentional Alignment, which branches into either Regulatory Coherence (when alignment is high) or Regulatory Fatigue (when alignment is low). Dynamic Re-Alignment moderates recovery from temporary misalignment.\u003c/p\u003e","description":"","filename":"figur2.png","url":"https://assets-eu.researchsquare.com/files/rs-9448460/v1/67d9277dea897148a963088f.png"},{"id":107535288,"identity":"53358503-e848-4830-8de2-13c1bb4d42ab","added_by":"auto","created_at":"2026-04-22 11:11:50","extension":"png","order_by":3,"title":"Figure 3","display":"","copyAsset":false,"role":"figure","size":196770,"visible":true,"origin":"","legend":"\u003cp\u003eComputational evidence layer showing the spreadsheet simulation, DRAM interactive tool, and the shared mathematical formulation.\u003c/p\u003e","description":"","filename":"figur3.png","url":"https://assets-eu.researchsquare.com/files/rs-9448460/v1/40cd5549a8d102dd48a03b0b.png"},{"id":107535291,"identity":"4319eb10-4ba2-48d2-9ebf-80195e8d25bb","added_by":"auto","created_at":"2026-04-22 11:11:51","extension":"png","order_by":4,"title":"Figure 4","display":"","copyAsset":false,"role":"figure","size":101211,"visible":true,"origin":"","legend":"\u003cp\u003eThe HaE three-stage universal framework: Diagnostic Sensing, Dynamic Calibration, and Coherent Completion form an iterative regulatory loop.\u003c/p\u003e","description":"","filename":"figur4.png","url":"https://assets-eu.researchsquare.com/files/rs-9448460/v1/500fa1b49270e55fcbb1f439.png"},{"id":107535282,"identity":"dfbf5415-3a4e-4f1b-83e3-83e9529f28eb","added_by":"auto","created_at":"2026-04-22 11:11:46","extension":"png","order_by":5,"title":"Figure 5","display":"","copyAsset":false,"role":"figure","size":220413,"visible":true,"origin":"","legend":"\u003cp\u003eOverall DIARP three-layer architecture showing the relationships among meta-theory (DIAT), computational evidence (spreadsheet simulation + DRAM tool), and applied frameworks (HaE universal + HaE pesantren).\u003c/p\u003e","description":"","filename":"figur5.png","url":"https://assets-eu.researchsquare.com/files/rs-9448460/v1/fbfe5a23cdfbcb5d83f1c9de.png"},{"id":109478880,"identity":"106f4c55-bf9b-4e6c-a11e-9989cc1e4cee","added_by":"auto","created_at":"2026-05-18 14:41:28","extension":"pdf","order_by":0,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":781516,"visible":true,"origin":"","legend":"","description":"","filename":"manuscript.pdf","url":"https://assets-eu.researchsquare.com/files/rs-9448460/v1/348cf508-4cb4-4236-9379-82359050c473.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"The Dynamic Intentional Alignment Research Program (DIARP): A Three-Layer Integrated Framework for Understanding Regulatory Fatigue Under Persistent Constraint","fulltext":[{"header":"1. Introduction","content":"\u003cp\u003eHuman functioning rarely unfolds under conditions free from constraint. Across educational, organizational, and personal domains, individuals operate under persistent structural demands that require continuous regulatory adjustment (Carver \u0026amp; Scheier, \u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e1998\u003c/span\u003e). A persistent empirical anomaly motivates this research program: individuals frequently maintain goal-directed behavior while simultaneously experiencing increasing fatigue, strain, or burnout. Students preparing for examinations, employees under sustained workload, and individuals engaged in long-term personal development all exhibit this paradox behavioral persistence coexists with progressive internal degradation (Tello et al., \u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e2025\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eExisting theoretical frameworks provide only partial explanations. Resource-based models attribute fatigue to the depletion of limited regulatory capacity (Baumeister et al., \u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e1998\u003c/span\u003e; Hobfoll, \u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e1989\u003c/span\u003e). Value based models conceptualize effort allocation as cost benefit computation (Kurzban et al., \u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e2013\u003c/span\u003e; Shenhav et al., \u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e2013\u003c/span\u003e). While influential, these frameworks primarily explain disengagement rather than the coexistence of persistence and fatigue.\u003c/p\u003e \u003cp\u003eThis short communication introduces the Dynamic Intentional Alignment Research Program (DIARP), a three layer integrated framework that addresses this gap. DIARP shifts attention from the quantity of resources or effort to the structure of the regulatory system itself. The core mechanism across all layers is simple: regulatory fatigue emerges from the persistence of misalignment between Intentional Direction (ID) and Affective Regulation (AR) under persistent constraint (Author, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2026a\u003c/span\u003e).\u003c/p\u003e"},{"header":"2. The Core Mechanism","content":"\u003cp\u003eBefore presenting the three layers, the core mechanism underlying all components of DIARP is illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig1\" class=\"InternalRef\"\u003e1\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e"},{"header":"3. Layer 1: Dynamic Intentional Alignment Theory (DIAT)","content":"\u003cp\u003eDIAT provides the meta-theoretical foundation of DIARP. It proposes that sustainable adaptive functioning under persistent constraint depends on Dynamic Intentional Alignment the degree to which value-endorsed intentional direction remains coherently integrated with affective regulation.\u003c/p\u003e \u003cp\u003eThe theory specifies four core constructs:\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Taba\" border=\"1\"\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eConstruct\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eDefinition\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eConstraint\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eStructural boundary conditions shaping action possibilities\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDynamic Intentional Alignment\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eIntegration of ID with AR under constraint\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eRegulatory Coherence\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eTemporal stability of integration across time\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eRegulatory Fatigue\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEnergetic depletion from sustained misalignment\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eThe central proposition is: Sustainable adaptive functioning under persistent constraint depends on Dynamic Intentional Alignment, which supports Regulatory Coherence and mitigates Regulatory Fatigue. When alignment is maintained, the system moves toward Regulatory Coherence. When alignment deteriorates, even small but persistent discrepancies accumulate into Regulatory Fatigue independent of constraint magnitude or endorsement strength (Author, \u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2026a\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eDIAT further introduces Dynamic Re-Alignment as the recovery process correcting temporary misalignment before it becomes chronic, involving both locomotion (moving toward alignment) and assessment (evaluating whether alignment has been achieved). The core causal architecture is illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig2\" class=\"InternalRef\"\u003e2\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eA stabilized articulation of DIAT has been deposited as a foundational document (Author, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2026b\u003c/span\u003e).\u003c/p\u003e"},{"header":"4. Layer 2: Computational Evidence","content":"\u003cp\u003eThe core mechanism is validated through two complementary computational implementations.\u003c/p\u003e \u003cdiv id=\"Sec5\" class=\"Section2\"\u003e \u003ch2\u003e4.1. Spreadsheet Simulation\u003c/h2\u003e \u003cp\u003eA minimal discrete-time simulation (Author, \u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e2026b\u003c/span\u003e) operationalizes the dynamic misalignment mechanism. With parameters α\u0026thinsp;=\u0026thinsp;0.3 (adjustment rate), γ\u0026thinsp;=\u0026thinsp;0.1 (sensitivity to constraint), and C\u0026thinsp;=\u0026thinsp;0.5 (constraint intensity), the simulation demonstrates that misalignment stabilizes at a non-zero equilibrium, and fatigue accumulates linearly even when behavior remains stable.\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec6\" class=\"Section2\"\u003e \u003ch2\u003e4.2. Interactive DRAM Tool\u003c/h2\u003e \u003cp\u003eThe DRAM (Dynamic Misalignment Mechanism of Regulatory Fatigue) tool translates the formal model into an interactive web-based application (Author \u0026amp; Co-author, \u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e2026\u003c/span\u003e). Users can manipulate parameters in real-time (initial ID, initial AR, adjustment rate α, constraint Δ, iterations) and observe the resulting trajectories of ID, AR, and fatigue. The tool is publicly available and the source code is deposited on Zenodo.\u003c/p\u003e \u003cp\u003eThe mathematical formulation shared by both implementations is presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig3\" class=\"InternalRef\"\u003e3\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003c/div\u003e"},{"header":"5. Layer 3: Applied Frameworks","content":"\u003cp\u003eThe mechanism is translated into practical strategies through two operational frameworks.\u003c/p\u003e \u003cdiv id=\"Sec8\" class=\"Section2\"\u003e \u003ch2\u003e5.1. HaE: Universal Application\u003c/h2\u003e \u003cp\u003eThe HappyAwalEnd (HaE) framework (Author, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2026c\u003c/span\u003e) provides a structured, human-centered protocol for managing regulatory fatigue during sustained goal pursuit. It consists of three sequential yet iterative stages, illustrated in Fig.\u0026nbsp;\u003cspan refid=\"Fig4\" class=\"InternalRef\"\u003e4\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eThe framework has potential applications across organizational, educational, and clinical settings, particularly in contexts characterized by continuous performance demands where disengagement is not a viable option (Author, \u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e2026c\u003c/span\u003e).\u003c/p\u003e \u003c/div\u003e \u003cdiv id=\"Sec9\" class=\"Section2\"\u003e \u003ch2\u003e5.2. HaE: Pesantren-Based Validation\u003c/h2\u003e \u003cp\u003eA contextual validation of the HaE framework is being developed in collaboration with a research center at a Malaysian university, grounded in the lived realities of Indonesian Islamic boarding schools (pesantren). The framework synthesizes classical philosophical wisdom (Al-Ghazali, \u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e2010\u003c/span\u003e; Wang, \u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e1963\u003c/span\u003e) with contemporary psychological theories (Csikszentmihalyi, \u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e1990\u003c/span\u003e; Lipton, \u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e2005\u003c/span\u003e; Pavlov, \u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e1927\u003c/span\u003e; Taleb, \u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e2012\u003c/span\u003e).\u003c/p\u003e \u003cp\u003eCentral to this validation is an indigenous wisdom from a traditional pesantren teacher: \u003cem\u003e\"Kamu harus nyambung antara akal dan hati\"\u003c/em\u003e (You must connect the mind and the heart). This instruction aligns precisely with DIAT's core proposition that sustainable functioning requires integration between intentional direction (\u003cem\u003eakal\u003c/em\u003e) and affective regulation (\u003cem\u003ehati\u003c/em\u003e).\u003c/p\u003e \u003c/div\u003e"},{"header":"6. Overall DIARP Architecture","content":"\u003cp\u003eThe three layers form an integrated, non-linear, and recursive system. The overall architecture is presented in Fig.\u0026nbsp;\u003cspan refid=\"Fig5\" class=\"InternalRef\"\u003e5\u003c/span\u003e.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e \u003cp\u003eEach component shares the same core mechanism but operates at different levels of abstraction:\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabb\" border=\"1\"\u003e \u003ccolgroup cols=\"3\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c3\" colnum=\"3\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eComponent\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eLevel\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c3\"\u003e \u003cp\u003e\u003cem\u003eContribution\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDIAT\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eMeta-theoretical\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eFormal explanation of why fatigue emerges\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eSpreadsheet Simulation\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eComputational\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eMinimal proof-of-principle\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eDRAM Tool\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eComputational\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eInteractive exploration\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eHaE (Universal)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eApplied\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003e3-stage practical guide\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cb\u003eHaE (Pesantren)\u003c/b\u003e\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eApplied\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c3\"\u003e \u003cp\u003eContextual validation\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e"},{"header":"7. Current Status and Future Directions","content":"\u003cp\u003eThe current status of each DIARP component is summarized below:\u003c/p\u003e \u003cp\u003e \u003cdiv class=\"gridtable\"\u003e\u003ctable float=\"No\" id=\"Tabc\" border=\"1\"\u003e \u003ccolgroup cols=\"2\"\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c1\" colnum=\"1\"\u003e\u003c/div\u003e \u003cdiv align=\"left\" class=\"colspec\" colname=\"c2\" colnum=\"2\"\u003e\u003c/div\u003e \u003cthead\u003e \u003ctr\u003e \u003cth align=\"left\" colname=\"c1\"\u003e \u003cp\u003e\u003cem\u003eComponent\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003cth align=\"left\" colname=\"c2\"\u003e \u003cp\u003e\u003cem\u003eStatus\u003c/em\u003e\u003c/p\u003e \u003c/th\u003e \u003c/tr\u003e \u003c/thead\u003e \u003ctbody\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDIAT (foundational document)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003ePublished (Zenodo)\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eSpreadsheet Simulation\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUnder review\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eDRAM Tool\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eUnder editorial review\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHaE (Universal)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eEditorial assignment\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003ctr\u003e \u003ctd align=\"left\" colname=\"c1\"\u003e \u003cp\u003eHaE (Pesantren)\u003c/p\u003e \u003c/td\u003e \u003ctd align=\"left\" colname=\"c2\"\u003e \u003cp\u003eCollaborative revision\u003c/p\u003e \u003c/td\u003e \u003c/tr\u003e \u003c/tbody\u003e \u003c/colgroup\u003e \u003c/table\u003e\u003c/div\u003e \u003c/p\u003e \u003cp\u003eFuture directions include: (1) empirical validation using experience sampling methods, (2) development of digital tools supporting HaE practices, (3) cross-cultural adaptation of the framework, and (4) integration with organizational-level interventions.\u003c/p\u003e"},{"header":"8. Conclusion","content":"\u003cp\u003eDIARP offers a coherent programmatic foundation for understanding regulatory fatigue under persistent constraint. By distinguishing between behavioral persistence and regulatory coherence, and by formalizing fatigue as accumulated misalignment rather than resource depletion, the framework provides a new lens for interpreting fatigue-related phenomena. The three layers meta-theory, computational evidence, and applied frameworks work in concert to explain why fatigue emerges, demonstrate how it accumulates, and provide practical strategies for managing it. DIARP invites further theoretical and empirical development across organizational, educational, and clinical contexts.\u003c/p\u003e"},{"header":"Declarations","content":"\u003ch2\u003eAuthor Contribution\u003c/h2\u003e\u003cp\u003eJ.A. conceptualized the study, developed the theoretical framework, and wrote the manuscript. The author reviewed and approved the final version.\u003c/p\u003e\u003ch2\u003eAcknowledgement\u003c/h2\u003e\u003cp\u003eThe author expresses sincere gratitude to Abdul Aziz for his contribution to the development of the DRAM simulation tool cited in this manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\u003cli\u003e\u003cspan\u003eAl-Ghazali, A. H. (2010). \u003cem\u003eKimiya-yi Sa\u0026rsquo;adat\u003c/em\u003e. Najah Awadh, Ed.). Dar al-Mokattam.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAuthor (2026a). \u003cem\u003eDynamic Intentional Alignment Theory (DIAT): A foundational clarification.\u003c/em\u003e \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/https://doi.org/\u003c/span\u003e\u003cspan address=\"https://doi.org/https://doi.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003e10.5281/zenodo.18717066\u003c/span\u003e\u003cspan address=\"10.5281/zenodo.18717066\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAuthor (2026b). \u003cem\u003eWhen Goals Persist but Alignment Fails: A Simulation-Based Illustration of Regulatory Fatigue\u003c/em\u003e. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.21203/rs.3.rs-9050239/v1\u003c/span\u003e\u003cspan address=\"10.21203/rs.3.rs-9050239/v1\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAuthor. (2026c). \u003cem\u003eWhy we continue while breaking: The HappyAwalEnd (HaE) framework for managing regulatory fatigue in sustained goal pursuit\u003c/em\u003e. Manuscript Submitted for Publication.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eAuthor, \u0026amp; Co-author. (2026). \u0026amp;. \u003cem\u003eDRAM: An interactive simulation tool for modeling regulatory fatigue.\u003c/em\u003e \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/\u003c/span\u003e\u003cspan address=\"https://doi.org/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.5281/zenodo.19319097\u003c/span\u003e\u003cspan address=\"10.5281/zenodo.19319097\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eBaumeister, R. F., Bratslavsky, E., Muraven, M., \u0026amp; Tice, D. M. (1998). Ego depletion: Is the active self a limited resource? \u003cem\u003eJournal of Personality and Social Psychology\u003c/em\u003e, \u003cem\u003e74\u003c/em\u003e(5), 1252\u0026ndash;1265. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1037/0022-3514.74.5.1252\u003c/span\u003e\u003cspan address=\"10.1037/0022-3514.74.5.1252\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCarver, C. S., \u0026amp; Scheier, M. F. (1998). On the Self-Regulation of Behavior. \u003cem\u003eOn the Self-Regulation of Behavior\u003c/em\u003e. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1017/cbo9781139174794\u003c/span\u003e\u003cspan address=\"10.1017/cbo9781139174794\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eCsikszentmihalyi, M. (1990). \u003cem\u003eFlow-The Psychology of optimal experience\u003c/em\u003e. Harper \u0026amp; Row.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eHobfoll, S. E. (1989). Conservation of Resources: A New Attempt at Conceptualizing Stress. \u003cem\u003eAmerican Psychologist\u003c/em\u003e, \u003cem\u003e44\u003c/em\u003e(3), 513\u0026ndash;524. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1037/0003-066X.44.3.513\u003c/span\u003e\u003cspan address=\"10.1037/0003-066X.44.3.513\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eKurzban, R., Duckworth, A., Kable, J. W., \u0026amp; Myers, J. (2013). An opportunity cost model of subjective effort and task performance. \u003cem\u003eBehavioral and Brain Sciences\u003c/em\u003e, \u003cem\u003e36\u003c/em\u003e(6), 661\u0026ndash;679. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1017/S0140525X12003196\u003c/span\u003e\u003cspan address=\"10.1017/S0140525X12003196\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eLipton, B. H. (2005). \u003cem\u003eThe Biology of Belief: Unleashing the Power of Consciousness, Matter \u0026amp; Miracles\u003c/em\u003e (1st ed.). Mountain of Love.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003ePavlov, I. P. (1927). \u003cem\u003eCONDITIONED REFLEXES: AN INVESTIGATION OF THE PHYSIOLOGICAL ACTIVITY OF THE CEREBRAL CORTEX\u003c/em\u003e. G V Anrep. Tran.).\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eShenhav, A., Botvinick, M. M., \u0026amp; Cohen, J. D. (2013). The Expected Value of Control: An Integrative Theory of Anterior Cingulate Cortex Function. \u003cem\u003eNeuron\u003c/em\u003e, \u003cem\u003e79\u003c/em\u003e(2), 217\u0026ndash;240. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1016/j.neuron.2013.07.007\u003c/span\u003e\u003cspan address=\"10.1016/j.neuron.2013.07.007\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTaleb, N. N. (2012). \u003cem\u003eAntifragile: things that gain from disorder\u003c/em\u003e. Random House Trade Paperbacks.\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eTello, M. E. C., Boraita, R. J., Ibort, E. G., \u0026amp; Torres, J. M. D. (2025). Burnout syndrome in Spanish university lecturers: prevalence and relationship with lifestyle habits and physical and mental health indicators. \u003cem\u003eBMC Psychology\u003c/em\u003e, \u003cem\u003e13\u003c/em\u003e(1), 935. \u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://doi.org/10.1186/s40359-025-03287-7\u003c/span\u003e\u003cspan address=\"10.1186/s40359-025-03287-7\" targettype=\"DOI\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e\u003c/span\u003e\u003c/li\u003e \u003cli\u003e\u003cspan\u003eWang, Y. (1963). In Chan (Ed.), \u003cem\u003eInstructions for Practical Living and Other Neo-Confucian Writings by Wang Yang-ming\u003c/em\u003e. W. tsit.\u003c/span\u003e\u003c/li\u003e\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"regulatory fatigue, self-regulation, dynamic alignment, DIAT, HaE, computational modeling","lastPublishedDoi":"10.21203/rs.3.rs-9448460/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-9448460/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eRegulatory fatigue the experience of accumulating exhaustion during sustained goal pursuit is a pervasive phenomenon that remains insufficiently explained by existing resource based and value-based models. This short communication introduces the Dynamic Intentional Alignment Research Program (DIARP), a three layer integrated framework for understanding how fatigue emerges under persistent constraint. The first layer, Dynamic Intentional Alignment Theory (DIAT), provides a formal meta-theoretical account proposing that fatigue arises from persistent misalignment between Intentional Direction (ID) and Affective Regulation (AR). The second layer presents computational evidence through two implementations: a spreadsheet simulation demonstrating non-zero equilibrium misalignment and an interactive tool (DRAM) for real-time parameter exploration. The third layer translates the mechanism into applied frameworks, including a three-stage universal protocol (HaE) and a contextual validation in Indonesian Islamic boarding schools (Pesantren). DIARP offers a coherent programmatic foundation for future research on regulatory fatigue, emphasizing temporal dynamics and internal coherence over static resource or cost models.\u003c/p\u003e","manuscriptTitle":"The Dynamic Intentional Alignment Research Program (DIARP): A Three-Layer Integrated Framework for Understanding Regulatory Fatigue Under Persistent Constraint","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2026-04-22 11:10:36","doi":"10.21203/rs.3.rs-9448460/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"b7eccece-1318-484b-91bc-e336f5c9aee6","owner":[],"postedDate":"April 22nd, 2026","published":true,"recentEditorialEvents":[{"type":"decision","content":"Rejected","date":"2026-05-18T14:29:12+00:00","index":"","fulltext":""}],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2026-05-18T14:41:06+00:00","versionOfRecord":[],"versionCreatedAt":"2026-04-22 11:10:36","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-9448460","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-9448460","identity":"rs-9448460","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}