环球科学

感到疼痛时,猫猫会露出哪些表情?|科学60秒

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“你看我开心不”@Manja Vitolic on Unsplash

你能从一只猫的眼神中看出它在想什么吗?猫在进化过程中成为了跟踪猎物的孤独猎手,而不是像我们人类这样的社会性动物。在追踪猎物时,猫猫的扑克脸可能会很有优势,但如果人类想知道宠物是否正在忍受疼痛,那就很麻烦了。研究人员正试图借助人工智能更深入地了解猫科动物的感受。

如果你想知道一只猫是否疼痛,你必须做一个名为“格拉斯哥猫科动物综合疼痛量表”(Glasgow Feline Composite Measure Pain Scale,简称“格拉斯哥量表”)的测试。首先你要选出与猫猫最匹配的图片,然后回答有关它行为的问题,每个问题都会有一个相关的小数字,数字的高低取决于它的痛苦程度,最后加起来就是你家猫猫的疼痛指数了。

但是,对于不是兽医的普通人来说,这项测试并不简单,例如,你能分辨出猫猫紧张和蹲下的样子吗?能区分僵硬或驼背的猫吗?

自由科普作家利拉·冈畑(Leila Okahata)写过一篇关于人工智能疼痛检测的文章。研究人员从德国一家动物医院收治的84只猫咪照片入手,对它们进行了疼痛检测,然后根据格拉斯哥量表给这些猫猫进行疼痛评分,并给照片打上疼痛评分的标注。

他们用到了两种机器学习算法:第一种对每张照片都进行了细致的分析,研究了猫猫脸上40多个特定部位;第二种是一个深度学习模型,它会把每张照片作为一个整体来看。第一种模型准确率高达……[查看全文]


AI Can Now Read Your Cat's Pain

Sophie Bushwick: Can you tell what a cat is thinking, just from looking at it?
Tulika Bose: Probably not! Cats evolved to be solitary hunters stalking their prey, not social animals like us humans.
Bushwick: And that poker face might be handy while you’re out stalking prey, but it’s a real problem if humans are trying to figure out whether their pets are in pain. So that’s why researchers are trying to read more into feline feelings.
Bose: — [sings] using artificial intelligence!
Bushwick: —[sings] using artificial intelligence! As they love to do. I’m Sophie Bushwick, tech editor at Scientific American.
Bose: I’m Tulika Bose, multimedia editor.
Bushwick: And you’re listening to Tech Quickly, the version of Scientific American’s Science Quickly podcast that just wants to boop AI on the nose.
Bose: Cute.
Bushwick: Right now, if you want to see whether a cat’s in pain, you have to take a quiz called the Glasgow Feline Composite Measure Pain Scale.
Bose: Interesting.
Bushwick: It’s also just called Glasgow scale.
Bose: Ok, hmmm.
Bushwick: But The question is, what’s on the scale?
Bose: Yeah, what is on the scale?
Bushwick: Well, I just happen to have printed out a couple copies for us to peruse!
Bose: You did not.
Bushwick: I did indeed.
Bose: Wow
Bushwick: Take a look, take a look at this.
Bose: This looks like a Buzzfeed quiz for cat pain, but uh —
Bushwick: Yeah, the least favorite kind of Buzzfeed quiz.
Bose: Yeah, the least favorite. Ok, wow. So I see some little cartoon cats here.
Bushwick: Uh huh.
Bose: And I see their little ears squashed, or upright —
Bushwick: — And then you have to say which one is your cat.
Bose: Yeah! And then, I see uh, a second little set of cartoon cats here, and their little mouths look to be squished in different ways too.
Bushwick: Yeah, so you choose the picture that best matches the cat. And you also answer questions about its behavior —
Bose: — The cat —
Bushwick: How it responds to being pet —
Bose: Ok, ok.
Bushwick: And then each one of those questions gets a little number associated with it. Higher or lower, depending on how much pain it indicates. And then you add it all up at the end to get your pain score.
Bose: [Flips page.] This looks kind of hard actually.
Bushwick: It’s tricky! I mean can you tell the difference between a cat that is tense / crouched —
Bose: No!
Bushwick: And one that is rigid / hunched?
Bose: No that would be like the same thing to me!
Bushwick: It sounds exactly the same.
Bose: Yeah, exactly!
Bushwick: So it’s pretty subjective, you have to make some judgment calls…
Bose: mmhmmm
Bushwick: And if you’re not a veterinarian, who sees cats and uses this scale all the time, it could be an issue.
Bose: Absolutely. More subjective right?
Bushwick: Mmhmm exactly.
Bose: So the idea is that AI might be able to do better?
Bushwick: Or at the very least, it could do it faster and way more easily than an untrained human could.
Bose: So I know freelance science writer Leila Okahata wrote about a study that put AI to the pain-detection test. 
Bushwick: That’s right. Researchers started with photos of 84 cats that were being admitted to a veterinary/animal hospital in Germany —
Bose: Interesting —
Bushwick: — and then they gave these cats a pain score based on the Glasgow scale that we talked about —
Bose: Right —
Bushwick: And also on the amount of pain you’d expect a cat to be in for whatever ailment or injury brought them in, you know like a bone fracture. That’s gonna be pretty painful.
Bose: Yowch.
Bushwick: You mean “meow-ch”?
Bose: Uh, no, no I don’t.
Bushwick: [Laughs]
Bose: Ok. diabolical laugh. Diabolical laugh.
Bushwick: I’m not laughing at the cat’s pain. I’m laughing at the cat’s pun.
Bose: Uh, wow. Did you just make another pun?
Bushwick: I can’t help myself.
Bose: Oh my gosh, ok, ok.
Bushwick: [Continues laughing.]
Bose: Ok, ok.
Bushwick: I’m just littering the script with them! [Continues laughing.]
Bose: Yes you are!
Bushwick: [Continues laughing.] Littering? Litterbox?
Bose: Oh my God. You did it again.
Bushwick: Yeah. Anyway, the photos are labeled with the pain scores, and the researchers fed them into two different machine learning algorithms.
Bose: Interesting.
Bushwick: One broke down each photo in great detail, by examining four dozen specific sites on the cats’ faces. These are called landmarks.
Bose: Got it.
Bushwick: The second AI program was a deep learning model that just looked at each photo as a whole.
Bose: Got it. Moment of truth though — could the AI read the cats’ faces?
Bushwick: It did pretty well!
Bose: Huh!
Bushwick: The landmark-based model was...[full transcript]

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