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<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v7i9.12409</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>A Human-Machine Collaborative Prompt Model for Audio Description of Local Cultural Promotional Videos</title><url>https://artdesignp.com/journal/SSR/7/9/10.26689/ssr.v7i9.12409</url><author>ShaoWenyan,ZhengLingqian,LinXiaoshan,YanLirong</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>7</volume><issue>9</issue><history><date date-type="pub"><published-time>2025-09-09</published-time></date></history><abstract>This study explores the development of an automated audio description (AD) framework for local cultural promotional videos using a human-machine collaborative approach. The proposed framework integrates a multimodal large language model, Doubao, with human expertise to enhance AD production, particularly for videos featuring culturally rich content. By focusing on the example of the Fujian-based video “Where There Are Dreams, There Is Fu”, the study addresses two primary challenges in AD: cross-frame coherence and accurate cultural symbol interpretation. Through iterative human-machine collaboration, the model generates coherent, culturally grounded AD scripts that align with the cognitive patterns of visually impaired audiences. This research highlights the potential of GenAI-driven solutions in creating accessible content for public welfare organizations while maintaining cultural authenticity. The proposed framework offers a scalable, cost-effective approach to improving accessibility and promoting cultural heritage for visually impaired individuals.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Rohrbach A, Torabi A, Rohrbach M, et al., 2017, Movie Description. International Journal of Computer Vision, 123(1): 94–120.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Wei L, 2025, Narration, Identity, and Immersion: Strategies for Leveraging Multimodal Large Language Models for Enhancing Cultural Heritage Protection and Inheritance in the New Era. 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