Research on Efficient Perception Mechanism of Human-Computer Interface of Complex Information System Based on Intuitive Interaction

Research on Efficient Perception Mechanism of Human-Computer Interface of Complex Information System Based on Intuitive Interaction | 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 Research on Efficient Perception Mechanism of Human-Computer Interface of Complex Information System Based on Intuitive Interaction Jue Qu, Shuai chen, Sina Dang, Wei Wang, Haoyang Jiao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6440181/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 05 Jan, 2026 Read the published version in Scientific Reports → Version 1 posted 27 You are reading this latest preprint version Abstract Aiming to address the problems of high cognitive load and low information perception efficiency of complex information system interfaces in manned/unmanned cooperative operations, this study proposes an interface optimization method based on the intuitive interaction paradigm. By constructing a three-dimensional information architecture containing state parameters of multiple target types, UAV behavioural intent parameters, and target situational parameters, we designed an intergroup control experiment between traditional and intuitive interfaces.The experiment adopted a simulated battlefield mission paradigm, and synchronously recorded operators' behavioural performances (response time, correctness rate), oculomotor characteristics (fixations hotspots, scanning paths), and electroencephalographic signals (θ/α band power, P300 amplitude) and combined with a multimodal data fusion analysis method to verify the interface optimisation effect. The results show that the intuitive interface can improve the situational awareness value, operational efficiency, task effectiveness, and reduce the NASA-TLX cognitive load score, which is significantly better than the traditional interface (p = 0.003)..The study also proposes design guidelines for complex information system interfaces: (1) Multi-target state parameters are encoded with dynamic highlighting, and multi-target tracking accuracy can be improved when a single-information carrier is embedded with ≤ 3 intuitive elements; (2) UAV intent parameters need to be designed differently based on semantic features, and flicker cues combined with colour stereotype encoding are adopted for preconditioned parameters, which can shorten the time of intent recognition; (3) Target situation parameters need to establish a local-global dynamic mapping mechanism, and iconized presentation can reduce the fixations dwell time compared to textual description. This study provides a theoretical basis for interface design of human-machine cooperative systems in dynamic battlefield environments. Physical sciences/Engineering/Mechanical engineering Physical sciences/Engineering/Aerospace engineering Intuitive interaction HCI design EEG Eye movement Efficient perception Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 05 Jan, 2026 Read the published version in Scientific Reports → Version 1 posted Editorial decision: Revision requested 11 Sep, 2025 Reviews received at journal 16 Aug, 2025 Reviews received at journal 15 Aug, 2025 Reviews received at journal 12 Aug, 2025 Reviews received at journal 08 Aug, 2025 Reviewers agreed at journal 07 Aug, 2025 Reviewers agreed at journal 06 Aug, 2025 Reviews received at journal 06 Aug, 2025 Reviewers agreed at journal 06 Aug, 2025 Reviewers agreed at journal 06 Aug, 2025 Reviewers agreed at journal 04 Aug, 2025 Reviewers agreed at journal 30 Jul, 2025 Reviewers agreed at journal 29 Jul, 2025 Reviewers agreed at journal 29 Jul, 2025 Reviews received at journal 26 Jul, 2025 Reviewers agreed at journal 17 Jul, 2025 Reviewers agreed at journal 29 Jun, 2025 Reviews received at journal 15 Jun, 2025 Reviewers agreed at journal 06 Jun, 2025 Reviewers agreed at journal 05 Jun, 2025 Reviewers agreed at journal 04 Jun, 2025 Reviewers agreed at journal 29 Apr, 2025 Reviewers invited by journal 29 Apr, 2025 Editor assigned by journal 24 Apr, 2025 Editor invited by journal 24 Apr, 2025 Submission checks completed at journal 18 Apr, 2025 First submitted to journal 18 Apr, 2025 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. 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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-6440181","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":451616371,"identity":"2eeb44de-b36d-4e90-8dae-b32bf952866a","order_by":0,"name":"Jue Qu","email":"","orcid":"","institution":"Air Force Engineering University","correspondingAuthor":false,"prefix":"","firstName":"Jue","middleName":"","lastName":"Qu","suffix":""},{"id":451616372,"identity":"c87ba7d0-eea2-4f51-af7f-9487a0e384c0","order_by":1,"name":"Shuai chen","email":"","orcid":"","institution":"Air Force Engineering University","correspondingAuthor":false,"prefix":"","firstName":"Shuai","middleName":"","lastName":"chen","suffix":""},{"id":451616373,"identity":"1f86e06f-4b5a-4f1d-82f4-7a0037bc50c7","order_by":2,"name":"Sina Dang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAwklEQVRIiWNgGAWjYDCCAyDCwMaOn5n54AMStBSkJUu2syUbkKDlw2HGDed5zASI0sF3/uzhzzwGzMzGhxnMGBhqbKIJapG8kZcmzWPAxmd2mCHtAcOxtNwGQloMbvCYMecY8DADtRw3YGw4TISW82eMP+cYSDBubmZskyBOy4EcA+kcAwPGDczMbMRpkbyRYyb9xyAhWeIwG7NBAjF+4QM67OOMP//t+PvPf3zwocaGsBZUkECa8lEwCkbBKBgFuAAAOOA9OqbLTZgAAAAASUVORK5CYII=","orcid":"","institution":"Air Force Engineering University","correspondingAuthor":true,"prefix":"","firstName":"Sina","middleName":"","lastName":"Dang","suffix":""},{"id":451616374,"identity":"d3335888-6c3c-4546-b340-74454055f9a7","order_by":3,"name":"Wei Wang","email":"","orcid":"","institution":"Air Force Engineering University","correspondingAuthor":false,"prefix":"","firstName":"Wei","middleName":"","lastName":"Wang","suffix":""},{"id":451616375,"identity":"d766624f-2a30-466b-8785-610209f6f9c6","order_by":4,"name":"Haoyang Jiao","email":"","orcid":"","institution":"Air Force Engineering University","correspondingAuthor":false,"prefix":"","firstName":"Haoyang","middleName":"","lastName":"Jiao","suffix":""}],"badges":[],"createdAt":"2025-04-13 15:53:14","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-6440181/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-6440181/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1038/s41598-026-35017-3","type":"published","date":"2026-01-05T15:57:57+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":100069220,"identity":"3ae6cb43-40ba-40f4-9056-ec6ce89efcee","added_by":"auto","created_at":"2026-01-12 16:11:23","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1684892,"visible":true,"origin":"","legend":"","description":"","filename":"ResearchonEfficientPerceptionMechanismofHumanComputerInterfaceofComplexInformationSystemBasedonIntuitiveInteraction.pdf","url":"https://assets-eu.researchsquare.com/files/rs-6440181/v1_covered_ce3a8266-3534-4f75-9bcc-b96926e36784.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Research on Efficient Perception Mechanism of Human-Computer Interface of Complex Information System Based on Intuitive Interaction","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"scientific-reports","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"scirep","sideBox":"Learn more about [Scientific Reports](http://www.nature.com/srep/)","snPcode":"","submissionUrl":"","title":"Scientific Reports","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"Scientific Reports","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Intuitive interaction, HCI design, EEG, Eye movement, Efficient perception","lastPublishedDoi":"10.21203/rs.3.rs-6440181/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-6440181/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eAiming to address the problems of high cognitive load and low information perception efficiency of complex information system interfaces in manned/unmanned cooperative operations, this study proposes an interface optimization method based on the intuitive interaction paradigm. By constructing a three-dimensional information architecture containing state parameters of multiple target types, UAV behavioural intent parameters, and target situational parameters, we designed an intergroup control experiment between traditional and intuitive interfaces.The experiment adopted a simulated battlefield mission paradigm, and synchronously recorded operators' behavioural performances (response time, correctness rate), oculomotor characteristics (fixations hotspots, scanning paths), and electroencephalographic signals (θ/α band power, P300 amplitude) and combined with a multimodal data fusion analysis method to verify the interface optimisation effect. The results show that the intuitive interface can improve the situational awareness value, operational efficiency, task effectiveness, and reduce the NASA-TLX cognitive load score, which is significantly better than the traditional interface (p\u0026thinsp;=\u0026thinsp;0.003)..The study also proposes design guidelines for complex information system interfaces: (1) Multi-target state parameters are encoded with dynamic highlighting, and multi-target tracking accuracy can be improved when a single-information carrier is embedded with \u0026le;\u0026thinsp;3 intuitive elements; (2) UAV intent parameters need to be designed differently based on semantic features, and flicker cues combined with colour stereotype encoding are adopted for preconditioned parameters, which can shorten the time of intent recognition; (3) Target situation parameters need to establish a local-global dynamic mapping mechanism, and iconized presentation can reduce the fixations dwell time compared to textual description. This study provides a theoretical basis for interface design of human-machine cooperative systems in dynamic battlefield environments.\u003c/p\u003e \u003cp\u003e \u003c/p\u003e","manuscriptTitle":"Research on Efficient Perception Mechanism of Human-Computer Interface of Complex Information System Based on Intuitive Interaction","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-05-05 05:31:26","doi":"10.21203/rs.3.rs-6440181/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"decision","content":"Revision 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