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Imagine being in a classroom that moniters your every emotion, where even if you are paying attention, the teacher would think you are not. For students, this would be a tough world to live in. In "Making Mona Lisa Smile", the auther Nick D'Alto writes in a way that gives an impression that the Facial Acting Coding System is perfect; however, the truth is far from it.

The author makes a series of points to show why this Facial Action Coding System would work well, and its many uses in a classroom. On the other hand, the author does not address the Facial Action Coding System's shortcomings. In the first paragraph, the author says that the Mona Lisa is 83 percent happy, 9 percent disgusted, 6 percent fearful, and 2 percent angry. The question arises: how is it possible to be happy and angry at the same time? Machines can not, and will never be able to understand a human mind, and a human heart. Students in classrooms will not appreciate this technology because it will convey emotions differenct from what the students are actually going through.

In paragraph 3, the author describes how the machine picks up on emotions of people. The author says that he has classified six basic emotions. However, there are a vast majority of emotions that are not included in the Facial Acting Coding System. For example, what would the results looks like if someone feels jealous? Furthermore, the author says the emotions are associated with characteristic movements of the facial muscles.Therefore, the results would be squewed if one or more of the facial muscles are used to express two completely different emotions. Students could be accused of being sad, while in actuality, they are just tired.

In paragraph 4, the author says that even though individuals often show varying degrees of expression, the facial expressions for each emotion are universal. Again, the Coding System only uses 6 emotions, so it can not be accurate. The author also says that the software can identify mixed emotions, but fear and happiness can not be mixed emotions. Hence, the Facial Action Coding System is not accurate.

In paragraph 5, the athor says that humans would have trouble actually describing each facial trait that conveys happiness. This is because humans don't assume what a person is thinking, but the Facial Acting Coding System will and since the system will not be accurate, it could wrongly accuse an innocent person of an emotion.

Paragraph 6 talks about computers being able to understand emotional communication, while paragraphs 7 and 8, shows us how to encode a smile. By following the three steps given, it is farely easy to fake what the machine would think is a genuine smile. Computers may be able to read certain emotions, but humans can always outsmart them. The Facial Action Coding System is going to be a huge waste of money if it is employed in schools because students will find ways to deceive the system.

Lastly, paragraph 9 tells us that humans unconsciously imitate another person's facial expressions. With that being said, if someone shows a certain emotion, people that see that emotion would imitate it. This further skews the results of the Facial Action Coding System.

The Facial Action Coding System is simply not accurate; it does not cover a wide range of emotions and it can simply be deceived. Furthermore, students would unconsciously imitate other students, which would the Facial Action Coding System would interpret as an emotion. Hence, there is no value in using the Facial Action Coding Sytem to read students' emotional expressions.

Score: 4