Understanding the Tea Space in Ancient Chinese Paintings with the Aid of Artificial Intelligence

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Understanding the Tea Space in Ancient Chinese Paintings with the Aid of Artificial Intelligence | 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 Understanding the Tea Space in Ancient Chinese Paintings with the Aid of Artificial Intelligence Zhen Yang, Xiaowen Huang, Xuanjing Yun, Sijie Wang, lin Zhang, and 7 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-8190450/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 14 You are reading this latest preprint version Abstract Tea spaces serve as the material embodiment of Chinese tea culture, yet quantitative research on tea spaces depicted in ancient paintings remains insufficient. This study examined 207 ancient paintings spanning the Tang, Song, Yuan, Ming, and Qing dynasties, employing K-means colour clustering, shape index analysis and random forest methodologies. Findings reveal: (1) Regarding colour characteristics: the mean colour dominance index across ancient paintings ranged between 1.39 and 1.50; (2) Complexity: Song Dynasty tea utensils exhibited the highest complexity, followed by Tang and Yuan, with Ming and Qing showing the lowest complexity; (3) Service intensity: Qing and Song tea spaces demonstrated higher service intensity, followed by Yuan and Ming, with Tang showing the lowest intensity; (4) Influencing factors: War and floods exerted a significant negative impact on the proportion of tea spaces and the complexity of tea utensils.This study offers a fresh perspective on the development of Chinese tea culture. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 08 Mar, 2026 Reviews received at journal 03 Mar, 2026 Reviews received at journal 03 Mar, 2026 Reviews received at journal 23 Feb, 2026 Reviewers agreed at journal 14 Feb, 2026 Reviewers agreed at journal 12 Feb, 2026 Reviews received at journal 12 Feb, 2026 Reviewers agreed at journal 10 Feb, 2026 Reviewers agreed at journal 10 Feb, 2026 Reviewers agreed at journal 10 Feb, 2026 Reviewers invited by journal 10 Feb, 2026 Editor assigned by journal 09 Feb, 2026 Submission checks completed at journal 19 Jan, 2026 First submitted to journal 19 Jan, 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. 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