2016考研英语阅读每日精选：脸部阅读系统

考研网

在考研英语中，阅读分数可谓是占到了总分的半壁江山，正所谓“得阅读者得考研”。对于备考2016考研的同学们，在平时的复习中一定要拓展阅读思路，各类话题都要关注，这样才能在整体上提升考研英语阅读水平!新东方在线分享《2016考研英语阅读精选》，一起来学习吧!
    　　Face-reading System
        脸部阅读系统
    If a potential customer enjoys your advert, they aremore likely to buy your
product. It's a simple enoughconcept, but it is extremely difficult to know
howwell your advert is being received in the real world.Now a new system could
help advertisers knowexactly how their latest offering is going down
withviewers, just by watching their face.
    如果潜在的客户欣赏你的广告，那么他们会更有可能去购买你的产品。这是一个相当简单的观点，但要想知道你的广告在现实世界中是否能被人们所接受是非常困难的。目前，一种新型的系统可以帮助广告商通过观察观众的脸来准确地判断出他们最新的产品是否能被接受。
    The system, developed by Daniel McDuff and colleagues at the Massachusetts
Institute ofTechnology Media Lab, looks at how muscles in the face move in
response to watching a video.Software can then classify what counts as positive
facial responses and smiles during the videoand from that predict which adverts
the viewer most enjoys.
    这个系统是由美国麻省理工学院媒体实验室的丹尼尔·麦克达夫和他的同事所开发，主要是对观众观看视频时脸上的肌肉变化进行研究。该系统可以对观众积极的面部反应和微笑进行分类，预测出哪些广告最受欢迎。
    The team collected more than 3200 videos of people, whose faces were filmed
by their owncomputer's webcam as they watched three adverts online during the
Super Bowl in 2011. Aftereach commercial—one for Doritos, one for Google and one
for Volkswagen—the viewers wereasked if they liked the video and whether they
would want to watch it again. In tests, thesystem made correct predictions more
than 75 per cent of the time.
    该研究团队收集了超过3200部视频，这些视频记录了人们的脸部表情。当人们观看2011年美国橄榄球超级杯大赛期间的三个在线广告时，他们的脸部表情被他们自己电脑上的摄像头进行了拍摄。三个广告分别关于多力多滋、谷歌、大众汽车。在观看完三个广告后，观众被问及他们是否习惯这些视频，是否想再看一次。在测试中，该系统的准确预测率超过了75%。
    The system would be a boon for advertisers trying to grab the attention of
potentialcustomers on the internet. In future, the system could be used to
personalize adverts forviewers as they watch programmes online, depending on
their reaction, or as a more effectiveway of testing how good a new advert is at
appealing to customers.
    该系统有利于广告商在互联网上抓住潜在顾客的注意力。在未来，该系统可以根据人们观看在线节目时的反应，或者作为测试一个新广告如何有效吸引顾客的方式来为观众制作个性化的广告。