Multimodal attention and interest estimation for personalized digital out-of-home advertising systems

个性化数字户外广告系统的多模态注意力和兴趣估计

• 批准号: 499394-2016
• 负责人: AlOsman, Hussein
• 金额: $ 1.82万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=607401
• 关键词: Multimodal; attention; interest; estimation; personalized

The objective of this collaborative project is to develop methods for the real-time estimation of interest and attention of consumers observing ads through a digital signage system. This allows the signage system to respond by displaying ads that mostly appeal to the audience. These methods will be integrated into ADitude Media's flagship ad signage product to increase ad personalization. Furthermore, the research output can be applied to other applications where real-time and continuous assessment of interest and attention is beneficial (e.g. classroom, user interface software evaluation, television program recommender system etc...).

这个合作项目的目标是开发通过数字标牌系统观察广告的消费者的兴趣和注意力的实时估计方法。这允许标牌系统通过显示主要吸引观众的广告来响应。这些方法将被集成到ADitude Media的旗舰广告标牌产品中，以增加广告个性化。此外，研究成果可以应用于其他应用程序，其中实时和连续评估的兴趣和注意力是有益的（例如课堂，用户界面软件评估，电视节目推荐系统等）。