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Live Demonstrator of EEG and Eye-Tracking Input for Disambiguation of Image Search Results

机译:脑电图现场演示和眼动追踪输入,消除图像搜索结果的歧义

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When searching images on the web, users are often confronted with irrelevant results due to ambiguous queries. Consider a search term like 'Bill': Results will probably consist of multiple images depicting Bill Clinton, Bill Cosby and money bills. Given that the user is only interested in pictures of money bills, most of the results are irrelevant. We built a demo application that exploits EEG and eye-tracking data for the disambiguation of one of two possible interpretations of an ambiguous search term. The demo exhibits the integration of sensor input into a modern web application.
机译:在网络上搜索图像时,由于模棱两可的查询,用户经常会遇到不相关的结果。考虑一个像“比尔”这样的搜索词:结果可能包含描述比尔·克林顿,比尔·科斯比和金融法案的多个图像。假定用户只对钞票的图片感兴趣,则大多数结果都是无关紧要的。我们构建了一个演示应用程序,该应用程序利用EEG和眼动数据来消除模棱两可的搜索词的两种可能解释之一的歧义。该演示展示了传感器输入到现代Web应用程序中的集成。

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