Artificial Intelligence (AI) is one of the most popular and promising technologies in recent times. It has a plethora of uses in just about every industry you can think of. Today, companies of all sizes and all types are using AI to further their businesses, be it development, customer service, or any or aspect that’s crucial to their success.

 

As a result, you have many AI development companies that bring you the AI solutions you need, based on your requirements. With each technology that hits the market, comes a myriad of use cases to illustrate its value. In this case, we talk about emotion detection using AI and its various use cases.

1.    Video Game Testing

Video game testing is an excellent example of a use case of emotion detection. As you know, video games are generally aimed at a target audience. Video game development companies generally get users to play the game during the testing phase and give their feedback. They use facial emotional analysis to determine the emotions that each user goes through while playing the game.

 

This is a relatively more efficient way of testing and retrieving feedback than manual video game analysis since you get to see the change in emotions in real-time. You can gauge the excitement and frustration and every other emotion at different parts during the game, giving you a deeper understanding of how people find your game.

2.    Improved Engagement For Advertisements

Facial emotion recognition is also used to gauge advertisements. Multiple advertisements are shown to viewers and facial emotion recognition software is used to capture their emotions. Some versions of the ad display consistently high engagement rates with every watch, while other versions display varying engagement rates.

 

Companies can keep this in mind while selecting their ideal ad. As you can see, companies now have a real shot at efficiently captivating their target audience while also being able to incorporate feedback and make changes as they go.

3.    Making Cars Safer and Personalized

Cars and other vehicles are getting advanced with every year that passes. With car companies looking to push the envelope with every vehicle they produce, it makes sense that they use the power of AI to come up with the best possible product. AI, in this case, is used to understand human emotions. This is where facial emotion recognition comes into play.

 

This technology can help alert the driver in case they are not at their best due to drowsiness or tiredness. As a driver, you can receive personalized alerts asking you to take periodic breaks. You can also minimize the risk of getting into fatal accidents.

4.    Making Interviews Fruitful

Emotion detection during interviews is another vital use case of facial emotion recognition software. As you probably know, most interviews can be inauthentic, engulfed with a lot of judgment, lack of clarity, and confusion. It becomes difficult for both the interviewer and candidate to determine if they would make a great fit for each other.

AI can help gauge the candidate’s facial expressions, analyze their moods, the associated personality traits, and determine if they’d fit well in the company in question. In other words, AI can help the interviewer and company figure out how confident the client is and if they are answering questions honestly.

5.    Improving Market Research

As you know, traditional marketing research methods, including surveys may not be the best way to get the answers you are looking for, since the choices candidates make and the ones they claim may not match. Using AI can help gauge the behaviors that candidates exhibit when they use the product, helping you make vastly more accurate assessments.

Wrapping Up

AI is an integral part of technology, considering how it is increasingly being used across a variety of industries. Hence, there is a rapid increase in AI solutions development. The use cases mentioned in this article among a slew of others in different industries are a testament to the importance of facial emotion detection software and artificial intelligence in general.