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GMU:Designing Utopias: Theory and Practice/Selena Deger (view source)
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InterFace is an interactive tool which uses the facial expressions to detect the emotions and creates an additional layer of communication between the viewer and the wearer. When an emotion is detected on the wearer side, it is translated into a set of colors to be seen by the viewer who is also triggered by the colors that has a relatively universal meaning. | InterFace is an interactive tool which uses the facial expressions to detect the emotions and creates an additional layer of communication between the viewer and the wearer. When an emotion is detected on the wearer side, it is translated into a set of colors to be seen by the viewer who is also triggered by the colors that has a relatively universal meaning. It is designed to be used in a public space but rather than being in the center of attention, it aims to exist in the peripheral while still stimulating the people around. | ||
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==Discussions== | ==Discussions== | ||
Even though emotion detection with AI technology has been widely researched and used in a variety of applications, it is essential to consider its drawbacks. One of the main limitations is accuracy. The algorithm used in this project is said to be one of the highest accuracy ones however it still stays at 97%. From my personal experience I can say that it can be used for basic emotions however its power to assess complex or micro emotions is not close to the human capability of understanding emotional expressions. Current emotion detection systems can still struggle to identify emotions accurately due to cultural and individual differences and context. The technology is also prone to algorithmic bias, leading to inaccuracies for certain groups of people. My own experience with the tool is more or less had the same hustles, where the emotion detection was usually tagging me as sad rather than neutral. This kind of algorithm is a black box that makes it harder to understand what goes wrong during the process and it gives a very different result than expected. | |||
On the other hand, face recognition systems also have their own disadvantages. One of them is not being able to recognize a face from another angle, which means the camera needs to be stable enough to see the face horizontally aligned and this feature can limit the possibility of some actions while wearing the device. | |||
==References== | ==References== | ||