新罕布什尔州达特茅斯学院的科学家团队正在开发一款名为“情绪捕捉”（MoodCapture）的应用程序原型，它可能会在未来几年内大大帮助重度抑郁症患者。
When someone is suffering from major depression, objectively self-assessing the severity of their condition can be challenging. Well, within just a few years, an artificially intelligent face-analyzing smartphone app may tell such folks how they’re holding up.
当一个人患有严重抑郁症时，客观地自我评估病情的严重程度可能很有挑战性。好吧，在短短几年内，一个人工智能的人脸分析智能手机应用程序可能会告诉这些人他们是如何坚持的。
Currently being developed by a team of scientists at New Hampshire’s Dartmouth College, the prototype (原型) application is known as MoodCapture. The idea behind the app is that whenever the user unlocks their phone via its facial recognition system, the device’s front camera will capture multiple photos of their face and surroundings. An AI-based algorithm (算法) will then assess those images, examining carefully the user’s facial expression along with background images. If the app determines that the user’s depression is worsening, it will suggest measures such as getting outdoor exercise or socializing with family and friends. Ideally it won’t sound like a strong warning that the user seeks mental treatment — at least, not at first — as doing so might just make the person feel worse about their situation, thus strengthening their depression.
该原型应用程序目前由新罕布什尔州达特茅斯学院的一组科学家开发，名为情绪捕捉。该应用程序背后的想法是，每当用户通过面部识别系统解锁手机时，该设备的前置摄像头就会捕捉到他们的面部和周围环境的多张照片。然后，一种基于人工智能的算法将评估这些图像，仔细检查用户的面部表情和背景图像。如果该应用程序确定用户的抑郁症正在恶化，它将建议采取户外锻炼或与家人和朋友社交等措施。理想情况下，这听起来不像是对用户寻求心理治疗的强烈警告——至少一开始不是这样——因为这样做可能只会让用户对自己的处境感到更糟，从而加剧他们的抑郁情绪。
The AI was trained on a group of 177 test subjects divided into five smaller groups, all of whom had previously been diagnosed with major depressive disorder. Over a period of 90 days, each person’s phone shot photos of them as they rated how much they agreed with the statement, “I have felt down, depressed, or hopeless.” That prompt is part of the eight-point Patient Health Questionnaire, which is widely used to assess depression. Although the participants had agreed to have their picture taken by their phone, they weren’t aware that it was doing so as they responded to the prompt. This is an important consideration, as it means they weren’t subconsciously masking their emotions when the photos were taken.
人工智能是在177名受试者身上进行训练的，他们被分为五个小组，所有人之前都被诊断为重度抑郁症。在90天的时间里，每个人的手机都拍下了他们的照片，他们评价自己对“我感到沮丧、抑郁或绝望”这一说法的认同程度。这一提示是八点病人健康问卷的一部分，该问卷被广泛用于评估抑郁症。尽管参与者同意用手机拍照，但当他们回应提示时，他们并没有意识到手机在拍照。这是一个重要的考虑因素，因为这意味着他们在拍摄照片时没有下意识地掩饰自己的情绪。
The app proved to be 75% accurate at identifying which people were experiencing worsening depression. Once the technology is developed further — within about five years — the accuracy rate should climb to at least 90%. And the big advantage of MoodCapture is that it allows patients to assess their illness much more frequently, quickly responding to downswings (恶化) before they progress too far.
事实证明，该应用程序在识别哪些人正在经历抑郁症恶化方面的准确率为75%。一旦这项技术得到进一步发展——在大约五年内——准确率应该会攀升到至少90%。情绪捕捉的最大优点是，它可以让患者更频繁地评估自己的病情，在病情恶化之前快速做出反应。
分享本文十五分钟后截图给客服，获赠“阅读理解高频同义转换词”电子版！
剩余段落暂不支持预览，下载文章即可阅读全文，有任何疑问请您联系客服【18011429143】微信同号。
