Using AI to reveal the true extent & context of alcohol exposure in videos

利用人工智能揭示真实范围

• 批准号: DP230100927
• 负责人: Prof Emmanuel Kuntsche
• 金额: $ 21.83万
• 依托单位: La Trobe University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2023
• 资助国家: 澳大利亚
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP230100927
• 关键词: Using; AI; reveal; true; extent

This project aims to extend an artificial intelligence algorithm to automatically identify and quantify alcohol prevalence in videos. The project is expected to generate significant new knowledge about alcohol’s exposure in these videos’ social, emotional, and environmental contexts. The expected outcomes include a more efficient and automated method of revealing alcohol pervasiveness and its context in the 1000 most watched videos in Australia, making costly manual coding redundant. Anticipated benefits include enabling governments to better monitor compliance to alcohol product placement guidelines and increased public awareness of the frequency and harmful effects of being exposed to alcohol in videos.

该项目旨在扩展人工智能算法，以自动识别和量化视频中的酒精流行率。该项目预计将产生关于酒精在这些视频的社会，情感和环境背景下暴露的重要新知识。预期的成果包括一种更有效和自动化的方法，可以在澳大利亚1000个观看次数最多的视频中揭示酒精的普遍性及其背景，从而使昂贵的手动编码变得多余。预期的好处包括使政府能够更好地监测对酒精产品植入指南的遵守情况，并提高公众对视频中接触酒精的频率和有害影响的认识。