Personality Transfer in Human Animation: Handcrafted versus Data-Driven Approaches

Personality Transfer in Human Animation: Handcrafted versus Data-Driven Approaches | 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 Personality Transfer in Human Animation: Handcrafted versus Data-Driven Approaches Arçin Ülkü Ergüzen, Serkan Demirci, Sinan Sonlu, Uğur Güdükbay This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6027779/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 Personality is the individual's interrelated behavioral and emotional patterns that form the unique self. Personality-enriched animations benefit digital characters, which helps improve realism and communication. Body movements, among other modalities, can include strong cues for personality expression. We focus on altering the body movements of human animation to express the desired personality traits following two approaches: (i) a traditional approach that utilizes handcrafted motion adjustments following heuristic rules and (ii) a data-driven approach that separates content and personality into different latent spaces to reconstruct the same motion with altered personality. While the sample size does not affect the traditional approach, the scarcity of personality-labeled animation datasets prevents using sophisticated data-driven models; to this end, we utilize Neural Motion Fields (NeMF) in our data-driven personality transfer architecture. We evaluate the performance of the two approaches through a three-part user study; different models stand out for altering specific personality factors. computer animation personality transfer Five-Factor model motion modulation Laban Movement Analysis deep learning Neural Motion Fields (NeMF). Full Text Additional Declarations No competing interests reported. Supplementary Files SupplementaryVideo.mp4 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-6027779","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":415782785,"identity":"da550614-3135-40c1-97a6-f96cb3f99ecc","order_by":0,"name":"Arçin Ülkü Ergüzen","email":"","orcid":"","institution":"Bilkent University","correspondingAuthor":false,"prefix":"","firstName":"Arçin","middleName":"Ülkü","lastName":"Ergüzen","suffix":""},{"id":415782786,"identity":"06f3a119-f73e-4e1a-a725-ecec07eba05e","order_by":1,"name":"Serkan Demirci","email":"","orcid":"","institution":"Bilkent University","correspondingAuthor":false,"prefix":"","firstName":"Serkan","middleName":"","lastName":"Demirci","suffix":""},{"id":415782787,"identity":"5f8b55c7-54c7-47c3-9218-253d9735c4c8","order_by":2,"name":"Sinan Sonlu","email":"","orcid":"","institution":"Bilkent University","correspondingAuthor":false,"prefix":"","firstName":"Sinan","middleName":"","lastName":"Sonlu","suffix":""},{"id":415782788,"identity":"f181df4c-991d-4fe8-9a57-8dfc89007de8","order_by":3,"name":"Uğur Güdükbay","email":"data:image/png;base64,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","orcid":"","institution":"Bilkent University","correspondingAuthor":true,"prefix":"","firstName":"Uğur","middleName":"","lastName":"Güdükbay","suffix":""}],"badges":[],"createdAt":"2025-02-14 06:23:19","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6027779/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6027779/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":78190420,"identity":"1978d2d6-783c-4e1a-9ba3-0f3a44270d4c","added_by":"auto","created_at":"2025-03-10 19:49:00","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":3912202,"visible":true,"origin":"","legend":"","description":"","filename":"PersonalityTransferMVASubmission.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6027779/v1_covered_804e833f-96be-4a37-86ba-d83f9c1ab455.pdf"},{"id":76437429,"identity":"54b9f859-1049-4765-b431-1cab15a7234e","added_by":"auto","created_at":"2025-02-17 07:48:52","extension":"mp4","order_by":0,"title":"","display":"","copyAsset":false,"role":"supplement","size":68156354,"visible":true,"origin":"","legend":"","description":"","filename":"SupplementaryVideo.mp4","url":"https://assets-eu.researchsquare.com/files/rs-6027779/v1/a88e3bb9cad14cb6fb1aca6a.mp4"}],"financialInterests":"No competing interests reported.","formattedTitle":"Personality Transfer in Human Animation: Handcrafted versus Data-Driven Approaches","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"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":"computer animation, personality transfer, Five-Factor model, motion, modulation, Laban Movement Analysis, deep learning, Neural Motion Fields (NeMF).","lastPublishedDoi":"10.21203/rs.3.rs-6027779/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6027779/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003ePersonality is the individual's interrelated behavioral and emotional patterns that form the unique self. 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