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CNN News:情緒檢測技術(shù)

所屬教程:2015年08月CNN新聞聽力

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2015年08月13日

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https://online2.tingclass.net/lesson/shi0529/0009/9510/20150813cnn.mp3
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We`ve talked before how Internet companies like Google and social media sites like Facebook use the sites you visit and the subjects you like to help advertisers reach you. It`s called data mining.

之前我們討論過谷歌等網(wǎng)絡(luò)公司以及臉譜等社交媒體網(wǎng)站可以利用你訪問過的網(wǎng)站和你喜歡的事物來幫助廣告商與你取得聯(lián)系。這項技術(shù)稱為數(shù)據(jù)挖掘。

One thing that`s new, technology that allows some computers to track your emotions while you`re online. One thing that`s not new, the privacy concerns.

有一項新的技術(shù),該技術(shù)在你在線的時候,可以利用電腦跟蹤你的情緒。但是不新鮮的是, 涉及到隱私問題。

UNIDENTIFIED FEMALE: At Affectiva, we develop emotionally intelligent computers. So we use technology that can track your facial expressions and we map that into a number of emotional states. Essentially what the computer is doing is tracking your main feature points, like your eyes, your mouth, your eyebrows.

女:Affectiva研發(fā)了情緒智能電腦。所以我們使用該技術(shù)可以跟蹤你的面部表情,然后將表情映射到許多的情緒狀態(tài)中。本質(zhì)上而言,電腦所要做的救贖跟蹤記錄你主要的特征點,例如眼睛,嘴巴,眉毛的特征。

UNIDENTIFIED MALE: So your technology, how can it know what I`m feeling?

男:你們的技術(shù)如何感知我的情緒呢?

What is it looking for?

UNIDENTIFIED FEMALE: We`ve amassed the world`s largest emotion data repository, about seven billion emotion data points. We`ve collected videos from over 75 countries of people responding to digital content and we use that to train the computer to detect all sorts of different expressions, from enjoyment to confusion, concentration.

女:我們已經(jīng)積累了世界上最大情感數(shù)據(jù)庫,里面約含有70億個情感數(shù)據(jù)點。此外,我們還收集了來自75個不同的國家人們對于數(shù)字內(nèi)容的視頻。我們會利用這些內(nèi)容訓(xùn)練電腦偵測不同表情的能力,例如高興、迷茫、專心致志。

UNIDENTIFIED MALE: One of the things that`s scary about this type of technology is you think, wow, will a computer maybe be reading my emotions without me knowing?

男:這項技術(shù)令人害怕的一點是,電腦會在我不知情的情況下讀懂我的情緒嗎?

Do you think that`s possible for this technology one day?

你認(rèn)為在未來的某一天,這項技術(shù)會實現(xiàn)這一功能嗎?

UNIDENTIFIED FEMALE: Technologically, it`s possible, but we have crafted all our user experiences to date so that we get this opt in beforehand.

女:技術(shù)層面上講,這是可能的。但是我們已經(jīng)精心設(shè)計用戶體驗以事先知道用戶的選擇

UNIDENTIFIED MALE: What are some ways that you`re already implementing this technology?

男:現(xiàn)在你們已經(jīng)在哪些方面實現(xiàn)了這項技術(shù)?

UNIDENTIFIED FEMALE: So one of our main focuses at the moment is in the advertising and media space. We work with movie studios to develop and test their movie trailers. Also, we work with about 1,400 brands and advertisers who use our data because they want to understand the emotional connection you have with a brand. And we help them optimize their advertising.

女:目前,我們的重點之一是在廣告和媒傳媒。我們與電影公司合作,開發(fā)和測試他們的電影預(yù)告片。同時,我們和使用我們的數(shù)據(jù)的1400品牌和廣告商合作,因為他們想了解品牌與情感的聯(lián)系。這樣我們可以幫助他們優(yōu)化廣告。


We`ve talked before how Internet companies like Google and social media sites like Facebook use the sites you visit and the subjects you like to help advertisers reach you. It`s called data mining.

One thing that`s new, technology that allows some computers to track your emotions while you`re online. One thing that`s not new, the privacy concerns.

UNIDENTIFIED FEMALE: At Affectiva, we develop emotionally intelligent computers. So we use technology that can track your facial expressions and we map that into a number of emotional states. Essentially what the computer is doing is tracking your main feature points, like your eyes, your mouth, your eyebrows.

UNIDENTIFIED MALE: So your technology, how can it know what I`m feeling?

What is it looking for?

UNIDENTIFIED FEMALE: We`ve amassed the world`s largest emotion data repository, about seven billion emotion data points. We`ve collected videos from over 75 countries of people responding to digital content and we use that to train the computer to detect all sorts of different expressions, from enjoyment to confusion, concentration.

UNIDENTIFIED MALE: One of the things that`s scary about this type of technology is you think, wow, will a computer maybe be reading my emotions without me knowing?

Do you think that`s possible for this technology one day?

UNIDENTIFIED FEMALE: Technologically, it`s possible, but we have crafted all our user experiences to date so that we get this opt in beforehand.

UNIDENTIFIED MALE: What are some ways that you`re already implementing this technology?

UNIDENTIFIED FEMALE: So one of our main focuses at the moment is in the advertising and media space. We work with movie studios to develop and test their movie trailers. Also, we work with about 1,400 brands and advertisers who use our data because they want to understand the emotional connection you have with a brand. And we help them optimize their advertising.

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