Emotion AI is a subset of AI that is affective AI or affective computing. Emotion AI is specialized for detecting, stimulating, and reacting to human emotions. It works by natural language processing, and sentiment analysis, facial expression movement analysis, voice detection. It works by interpreting human emotion signals from sources such as text, voice, and video.
The Emotion AI is an Artificial Intelligence that can analyze and interpret signals of human emotions in the form of text by nature language processing, and sentimental analysis. It interprets with audio by voice emotion AI, and video by analyzing facial expressions, gait analysis, and physiological signals.
If we look at the present markets, Emotion AI is quite common. Sentiment analysis is used in marketing to do review analysis and recommendation tailoring for their products. In addition to this, it is also used in finance where it plays its role by assisting in forecasting the stock movement.
View of Experts about Emotion AI:
According to the review of the experts, it will influence industries like healthcare, insurance, education, and transportation. Soon, you will witness Emotion AI diagnosing depression and anxiety, detecting fraud in insurance, determining if a student understands the topic well, and assessing the driver’s performance. The emotion AI will grow fast in the upcoming future. According to the experts, the emotion recognition market will increase to 12.9% in 2027.
Brynjolfsson shared his opinion bout Emotion AI, he said; “We have a lot of neurons in our brain for social interactions. We’re born with some of those skills, and then we learn more. It makes sense to use technology to connect to our social brains, not just our analytical brains.”
He also said; “Just like we can understand speech and machines can communicate in speech, we also understand and communicate with humor and other kinds of emotions. And machines that can speak that language — the language of emotions — are going to have better, more effective interactions with us. It’s great that we’ve made some progress; it’s just something that wasn’t an option 20 or 30 years ago, and now it’s on the table.”
Pros of Emotion AI:
The advantages of Emotion AI can vary in different industries. However, experts of AI believe that it will play an essential role in the field of marketing, designing, advertising, and product manufacturing. It will provide people in this industry with amazing and valuable feedback from their customers. Some of its benefits are:
- The AI can streamline user testing, focus groups, and also consumer surveys.
- The Emotion AI can be utilized by the designers to analyze the insights from the reactions of customers to their ad campaigns, mockups, and prototypes. This assistance of Emotion AI will save their time and money.
- The Emotion AI can analyze human body language and emotions so that if we use this for products and services, the output will be more considerate of the customer’s requirements and feelings.
Cons of Emotion AI:
Despite all these benefits, understanding human emotions is quite difficult and fuzzy. So, using the Emotion AI for high-sequence situations can be risky a lot. That’s why, applying some of the technologies of Emotion AI can be problematic. Some of the disadvantages of this are:
- The Emotion AI is still not capable of understanding the full picture of how an individual feels. Its notorious example is hiring in which the AI will detect facial expressions and voice patterns and determine the candidate’s employability score. However, this can’t be accurate in some cases.
- Emotion AI can also have inaccuracies and biases like all other forms of technology.
- Consumers might have concerns about being analyzed by the Emotion AI, it is also against some of the privacy concerns.
Types of Emotion AI:
There are three types of Emotion AI. The types of Emotion AI are:
- Text-focused emotion AI,
- Voice-focused emotion AI
- Video and multimodal emotion AI
Text Emotion AI:
The text emotion AI works by analyzing the emotions in written words. For instance, it can detect emotions in online comments or stories in the form of text. It will detect if the content is in a positive or negative aspect.
Audio Emotion AI:
Audio Emotion AI is specialized for analyzing the emotions of human speech. The voice emotion AI will be used to assess and track customer service calls. It will work by determining the voice patterns of both individuals and analyzing the conversation and content effectively. It might also guide us on how to have a better conversation with our customers.
Companies of Behavioral Signals and Cogito develop voice emotion AI for better call center environments. They made this technology to have real-time feedback to representatives and to understand or find the best match between the agents and the people they call. In other ways, the audio emotion AI can analyze the content and understand the tones of the speakers effectively.
Video and Multimodal Emotion AI:
The video and multimodal emotional AI can process the video signals and analyze the individuals from eye movements to body language completely.
The video emotion AI will analyze the video including facial expression analysis and will do gait analysis to understand certain physiological signals in the video. The emotion AI will work by tracking eye movement by using infrared eye-tracking cameras and webcams to analyze pupil movement or even dilation and gazing time in response to different stimuli. The emotion AI by tracking the eye-movement records the eye behavior. It creates the heat to highlight what a viewer feels while looking at the digital ad, video, and website. In addition to this, it can also detect a person’s respiration and heart rate just through a camera.
Conclusion:
To sum up, the Emotion AI which is a subset of AI, significantly revolutionizes human-machine interaction by detecting and responding to those emotions through some signals. The emotion AI promises promise advantages like valuable insights with applications spanning various fields including marketing, healthcare, finance, and many more. But it also causes potential challenges like inaccuracies, biases, and privacy concerns. With the evolution of Emotion AI, its impact on various industries and daily lives is poised for substantial growth.
