Imagine a picture like this:
On the surface, you are staring intently at the computer screen for an online class. Suddenly, the computer reports you to the teacher:This man is actually wandering!
Obviously looking at the screen, how can the computer still find your “little secret”?
It turns out that this is a facial expression analysis technology developed by Intel, which is used to detect how you feel during online classes.
However, after Intel’s Emotion AI was put on the online course platform, it immediately caused a lot of controversy.
This emotion detection AI is used in an app called Class, which is based on Zoom.
Michael Chasen, CEO of Class R&D company, believes that teachers have certain difficulties in engaging with students in an online virtual classroom environment, and this product can help teachers identify when students need help.
However, some netizens did not buy it:This project is unscientific, isn’t there anyone in the entire Intel company with inconsistent facial expressions and emotional states?
Some netizens believe that humans can already recognize the facial expressions of others, and the principle of this Emotion AI is a pseudoscience.
Another data analyst firmly Say No to this application.
So, how does this AI monitoring level compare to the director of the teaching department? How?
Can emotional AI in the classroom help teaching?
Let’s first take a look at what kind of system the classroom Emotion AI is.
In the process of developing this Emotion AI system, Intel first used the 3D camera that comes with the computer to record the expressions of students when they listened to the lectures in the offline classroom.
Psychologists were then hired to watch the students’ videos and classify the emotions they detected to label the underlying data used to train the algorithmic models.
Finally, use these data to train the Emotion AI model, which is used to “secretly observe” the status of students in the online class.
Intel believes the system can detect if students are bored, distracted or confused by assessing their facial expressions and how they interact with educational content.
On the one hand, previous research has shown that because people express themselves through dozens or hundreds of subtle and complex facial expressions, body gestures, or physiological signals, it is not appropriate to use a single label to classify their state.
On the other hand, to capture students’ facial expressions with Intel’s Emotion AI, the camera must be turned on.
In recent years, online classes and online conferences have become all the rage, and whether students need to turn on their cameras for class has also caused controversy.
Some students are concerned that enabling the camera will expose their residence to the public, violating their privacy.
As for communicating with the teacher, it can also be done through the microphone or the chat box.
In addition, this technology also has certain requirements on the speed of the Internet. If students take classes outdoors, it will consume more traffic.
Analyst Nandita Sampath believes that Intel’s technology could be used by teachers to judge or punish students, even if it wasn’t their intention.
Emotion-detecting AI outside the classroom
In fact, Emotion AI is currently affecting many daily areas, including games, virtual sales, and customer service software.
For example, in medical diagnosis, emotion detection AI software can help doctors diagnose diseases through speech analysis, such as determining whether a patient suffers from depression and dementia.
There are similar examples in automotive safety.
Previously, Huawei has launched an APP called Facing Emotions, which can effectively help blind and visually impaired people with mobile phones.
Facing Emotions can use the rear camera to scan people’s faces and identify the eyes, nose, eyebrows and mouth, as well as the positions between them, and judge the expressions of the conversation partners in real time through AI algorithms.
The software converts 7 human emotions (anger, fear, disgust, happiness, sadness, surprise and contempt) into 7 tones, enabling blind and visually impaired people to communicate with others more freely.
What do you think of the prospect of commercialization of emotion detection AI technology?
Reference link:
[1] https://www.protocol.com/enterprise/emotion-ai-school-intel-edutech
[2] https://www.gartner.com/smarterwithgartner/13-surprising-uses-for-emotion-ai-technology
Hashtag: Intel AI artificial intelligence
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