I'm a Course 6-3 computer science major.

我主修電腦科學課程6-3。

I'm doing a project analyzing the effect of visual media on implicit biases.

我正在進行一個專案，分析視覺媒體對隱性偏見的影響。

I'm involved in the fashion magazine on campus.

我有參與校園的時尚雜誌。

I'm a very visual learner and I've been more and more interested in how people are actually

我是一個非常視覺化的學習者，我也一直對人們如何實際去

perceiving the images I take and also how I'm consuming images.

看待我所拍攝的圖像，以及我如何去理解圖像越來越感興趣。

I think nowadays we have Instagram and Facebook and you're seeing thousands of photos a week,

我認為如今我們擁有Instagram和Facebook，所以每週會看到數千張照片，

and I was wondering, "How is that affecting me implicitly?", "How has me looking at twenty

然後我就想：「那對我有何隱性影響？」、「如何讓我觀看二十張

images portraying someone that looks like them in a certain way?", "Has that impacted how

描繪某人的圖像，而他們看起來有某個既定的樣子呢？」、「那有影響

I then interact with this person in real life?", and my guess is "yes,"

我在現實生活中和那個人的互動嗎？」，然後我的猜測是「有的」，

but that's what I really wanted to study.

但那就是我真正想要學習之處。

Affective computing is really geared toward

情感計算是真正專門為

how people can naturally engage with computers.

人們如何自然與電腦互動而設計發展。

Any device that can measure some sort of affect or emotional response.

任何可以測量某種情感或情感反應的設備都算是情感計算。

So we use cameras that can detect micro expressions in the face,

因此，我們使用可以檢測面部細微表情的相機，

that can signal happiness, sadness, fear.

它能顯示快樂、悲傷和恐懼。

And then there's also wrist sensors that can detect electrodermal activity

然後有腕部傳感器可以檢測膚電活動，

that will signal stress and anxiety.

它能顯示壓力和焦慮。

And then also eye tracking, so like where are you looking on a screen?

然後還有眼動追踪，所以好比說你在看屏幕上的哪裡？

What parts of an image are specifically piquing your interest?

圖像的哪些部分特別引起你的興趣？

Elections, for example; when a news outlet is reporting on a specific political candidate,

以選舉為例；當新聞媒體報導特定的政治候選人時，

what are the images they are choosing to broadcast that candidate's position, and how are those

他們會選擇什麼圖像來播報該名候選人的位置，而那些

images biased based on the news outlet's own preferences?

圖像又是如何因為該家新聞媒體自身的偏好而有所偏頗？

And then how is that impacting the millions of people that are watching?

然後，那又會如何影響數以百萬計的觀看者？

The ideal outcome of this project is to have a quantitative analysis of,

這個專案的理想結果是對以下項目進行定量分析：

"If this is how the media you consume on a day-to-day basis,

「如果這是你日常會收看的媒體，

this is actually impacting you."

它真的會影響你。」

I think that would lead to a lot of people being more cognizant of what they're consuming,

我認為這將導致許多人更加了解自己在接收什麼，

and also what people are producing.

以及人們在產出什麼。

My hope is that this computational thinking is used, keeping in mind

我希望能使用這種計算思維，牢記

the implications of technologies that are being created;

所創建出來的技術之含義；

keeping in mind the biases within the approaches.

牢記在這些方法中的偏頗之處。

It's trained on faces, that's how we generate neural networks.

這個技術會聚焦在臉部的發展，因為那就是我們生成神經網路的方式。

And if those faces are all white or Caucasian, it's so much worse at detecting faces of darker-skin people.

如果那些臉孔都是白人或是高加索人，它相對會極不擅長偵測膚色較深的人的臉孔。

How is that impacting the neural networks of face-tracking software that

這樣會如何影響政府於我們全國網路攝影機中，

the government is using in web-cameras across our nation?

在臉部追踪軟體內所使用的神經網路呢？

Are there biases present in that?

其中存在著偏見嗎？

It's a really satisfying feeling when you talk to someone and you fundamentally believe that

當你與某人交談時，你能從根本上相信

they, not like agree with you, not anything, that they just understand you.

他們了解你，不是在附和你之類的，這時候你會感到非常滿足。

And that you aren't misconstruing your words, because...even language is so hard.

如此一來你就不用困擾如何措辭，因為...就連語言本身就很難。

It's so hard to like actually say what you're trying to say.

就像是很難真正說出你想要說的話。

"An image is worth a thousand words", or whatever.

「一畫勝千言」，或是隨便其他的字詞。

Like, it's such a cliche statement, but I think it has some merit in that visuals are so much

好比說，這是如此陳腔濫調的說詞，但我認為視覺的東西有一些優點，那就是它

easier to have a broad robust array of things that you can interpret and convey.

相對非常容易有廣泛、強大又大量的東西是你可以解釋和傳達的。

It's really hard to go through life if you feel like you're not really being seen.

如果你覺得自己並沒有真正被人看到，一輩子真的都會過得很難過。

And I think that's where the desire for creativity comes in.

我認為這一點就是創造的渴望來源。

At least for me.

至少對我而言是如此。