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這款App可以幫你辨認你和哪個朋友在一起最開心

這款App可以幫你辨認你和哪個朋友在一起最開心

Claire Groden 2015年07月16日
和L打交道我感覺最平靜;我最怕尼娜;和泰妍在一起感覺最興奮……現在,有一款App可以告訴你,和其他朋友在一起時你的真實感受,這堪稱移動應用市場的“藍海”。

????近日,一款醫療健身應用向用戶承諾,可以分辨哪些人才是值得深交的朋友,并據此安排你的社交活動。

????這款名為Pplkpr的應用與一塊可測量用戶心率的智能手表連接,以判斷你在和其他人打交道時有什么樣的情感反應。通過結合使用者手動錄入的情感反應和人際往來信息,該應用告訴你各類朋友可不可交。

????對讓你有負面情感反應的聯系人,該應用會自動屏蔽,同時會自動為你安排社交活動,與那些會讓你產生正面反應的聯系人往來。

????聽起來是不是匪夷所思?那就是它存在的意義。

????該應用的發明者勞倫·麥卡錫和凱爾·麥克唐納都是藝術家。他們希望“探究數據量化的生活對人際關系有何影響。”二人在共同成立的網站上寫道,他們“試圖通過這種應用促使人們認真思考這種未來前景,希望看到大家對想要或不想要的功能暢所欲言”。

????以上只是麥卡錫和麥克唐納的意圖,但不是所有用戶都只是把它當成一次思維實驗。據美國財經新聞頻道CNBC報道,該應用的下載量超過了7萬次。在App Store,用戶紛紛給予它真誠的評價。實際上,多數人提到的一種意見是,這款應用不能對那些不在Facebook聯系表上的朋友做自動分析。(財富中文網)

????翻譯:Pessy

????校對:詹妮

????A health and fitness app promises to tell users which friends are worth keeping, scheduling their social calendars accordingly.

????The app, called Pplkpr, connects to a smartwatch to measure users’ heart rates to determine their emotional response to people they’re interacting with. Combined with manually-entered emotional responses and information about the user’s comings and goings, the app can tell the user the general utility of his or her friends.

????Those contacts who make the user feel negatively will be automatically blocked, while the app automatically schedules social engagements with positive influencers.

????Sound scary? That’s the point.

????The app’s creators, Lauren McCarthy and Kyle McDonald, are artists who want to “explore the implications of quantified living for relationships.” McCarthy and McDonald wrote on their website that they “hope that seeing and trying the app will enable people to think critically about this future and speak out about what we do and don’t want to manifest.”

????But despite McCarthy and McDonald’s intentions, the app might not just be a thought experiment for everyone. It’s been downloaded more than 70,000 times, according to CNBC, and the reviews in the App Store are sincere. In fact, one of the most common complaints is that users’ friends who aren’t on Facebook can’t be auto-analyzed.

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