Empowering Communication: Utilizing Facial Expressions to Classify Interruptibility in the Workplace

Empowering Communication: Utilizing Facial Expressions to Classify Interruptibility in the Workplace | 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 Empowering Communication: Utilizing Facial Expressions to Classify Interruptibility in the Workplace Malik Haris, Muhammad Shahid Mastoi This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4366311/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 In today's information-driven workplaces, interruptions have grown commonplace and substantially negatively influence individual and team performance. To create a productive work environment, it is essential to comprehend the connection between interruptions and stress. This research paper focuses on utilizing facial expressions to gauge people's stress levels while examining the connections between interruptions, stress, and the consequences of positive or negative feedback. Facial expression analysis may provide important clues about someone's emotional condition, helping us choose when and how to interrupt them. Through the examination of facial expressions, this integrated method seeks to create a holistic system that can reliably identify stress levels while fostering respectful and effective communication techniques. The Interruptibility classification deep convolutional neural network architecture is based on pretrained models (Sequential model) using the Facial Expression Recognition Plus (FERPlus) dataset with Haar Cascade face detection. The small weight of the Sequential model and its better latency performance are its main benefits. Updated annotations are included in the FERPlus dataset for precise emotion categorization. This research helps designers of interruptibility classification systems create more precise systems by revealing patterns and connections between facial expression metrics and stress or non-stress states, promoting a positive and effective work environment. The results provide useful recommendations for controlling interruptions depending on people's stress levels, promoting efficient workplace communication, and minimizing unnecessary disturbances. Facial expression classification emotion interruptions stress convolutional neural networks transfer learning workplace Full Text 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. 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-4366311","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":298580927,"identity":"e35ff501-859a-4f21-badf-7e7e4c41eab6","order_by":0,"name":"Malik Haris","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA6klEQVRIiWNgGAWjYFAC5oaDjQ0MDGwMzMfAfDZ2gloYYVrY0hgYEoAMZiK0MIK0MDDwmIG1MBDSott+sPHgzB12+Xz8Z749+PhjmzwfMwPjh485uLWYnUlsOLjxTLJlm0TudsMZCbcN25gZmCVnbsOj5QBQy8M2ZgM2Cd5t0jwJtxmBWtiYefFpOf8QpKXegI3/zDOQFnvCWm6AHNZ22ICNIYcNpCWRCC1AW2a2HQc6LM1Mckba7eQ2ZsZm/H45n3z4Y29btYF8/+FnEh9sbtvOb28++OEjHi3YAGMDaepHwSgYBaNgFGAAAH3UU6lcv7qcAAAAAElFTkSuQmCC","orcid":"","institution":"Southwest Jiaotong University Xipu campus, High tech Zone","correspondingAuthor":true,"prefix":"","firstName":"Malik","middleName":"","lastName":"Haris","suffix":""},{"id":298580929,"identity":"4deb1df4-89f8-41c8-b338-f5f46a8d744a","order_by":1,"name":"Muhammad Shahid Mastoi","email":"","orcid":"","institution":"Southwest Jiaotong University Xipu campus, High tech Zone","correspondingAuthor":false,"prefix":"","firstName":"Muhammad","middleName":"Shahid","lastName":"Mastoi","suffix":""}],"badges":[],"createdAt":"2024-05-04 01:54:50","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4366311/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4366311/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":57309703,"identity":"5b78bcd2-c267-4f9f-9a6c-c307efe7342a","added_by":"auto","created_at":"2024-05-29 02:46:26","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":702629,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchPaper.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4366311/v1_covered_34f10af3-20da-4597-af6b-dccd24248659.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Empowering Communication: Utilizing Facial Expressions to Classify Interruptibility in the Workplace","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":"Facial expression classification, emotion, interruptions, stress, convolutional neural networks, transfer learning, workplace","lastPublishedDoi":"10.21203/rs.3.rs-4366311/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4366311/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn today's information-driven workplaces, interruptions have grown commonplace and substantially negatively influence individual and team performance. 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