新华网4月21日电 据科技博客网站Gizmodo报道,网络是内容的消防栓,追踪你喜爱的页面并不容易。英国一群设计系的学生萌发了这样的概念化解决措施:Amoeba,它是一款电子单片眼镜,可以通过监测用户的生物性反馈,将其最感兴趣的页面整理归档。这多像你一直以来都想拥有的情感追踪版谷歌眼镜!

自制针孔眼镜的原理(神奇的电子单片眼镜)(1)

Amoeba是由英国皇家艺术学院和伦敦帝国理工学院的学生珊娅、卡琳和弗洛里安设计的,通过3个不同的传感器来监测人的情绪状态。嘴巴附近的热传感器可以监测到呼吸频率,眼镜附近的摄像机可以观察到瞳孔大小,皮肤传感器可以监测到出汗增加。

综合分析用户对网页内容的生理反应,或是呼吸急促、出汗增加,或是瞳孔放大,Amoeba就可以判断出其最感兴趣的网址或网页。

“我们假设你在浏览网页之前就戴着Amoeba,”珊娅在自己的个人网站上写道,“当你浏览不同网页时,它感应到你的生理状态,并与你的兴趣做匹配。上网结束后,你可以到Amoeba的应用,选择你要查询的关键词。”

“这款应用里有你访问的所有链接,按你感兴趣的程度排列,”珊娅解释说,“你也可以选择路径打开特定页面,这更好地反映了你的自主性。”在一个小型测试里,这款设备的模型能以90%的准确率判断出使用者最感兴趣与最没兴趣的文章。

这款设备看起来似乎有些古怪,但当我打开38个页面,有些我甚至一眼未看,我就觉得这样的单片眼镜或许是个好注意。

译者:王俊景

Electronic Monocle Uses Biofeedback to Track Your Favorite Websites

The internet is a fire hydrant of content. Keeping track of the pages you enjoy is a pain. A team of UK design students has a conceptual solution: Amoeba, an electronic monocle that files away the pages you find most interesting, as measured by your biofeedback response. It's the emotion-tracking Google Glass you always wanted!

Designed by Sanya Rai, Carine Collé and Florian Puech, students at the Royal College of Art and Imperial College, London, Amoeba packs three different types of sensors to monitor your emotional state. Heat sensors near your mouth measure how fast you're breathing, a camera pointed at your eye watches your pupil size, and a skin sensor monitors for increased perspiration.

By correlating your physiological response with the digital content you're consuming, Amoeba can figure out which sites and pages you find most interesting. Or breathtaking, or perspiration-inducing, or, I suppose, pupil-dilating.

"We envision that you would wear the Amoeba device before you start your web-based research," Sanya Rai explains on her website. "As you go through different webpages, the device senses your bio-data and quantifies your interest. When you are done, you can then go to the Amoeba app and select the keyword you were looking at."

"The app will show you a time-based summary of all links visited, layering them based on how interesting you found the content," Sanya explains. "You also have the option of seeing the route you took to arrive at a certain page, thus enabling better reflection and self awareness." In small tests, the team says a prototype of the device was able to correctly identify the article a subject found most or least interesting nine times out of 10.

The device as designed looks a little on the spacey side, but then again I'm sitting here with 38 tabs open, some of which I haven't actually looked at since before I filed my taxes. Maybe a monocle isn't such a bad look.

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