Many people feel frustrated when technology fails or violates human intuition. The last thing people want to see is that the same technology can make their emotions different and thus change their mood. But all of this is changing. Computers are increasingly able to recognize human feelings - this is a big business. A recent report predicts that the global emotional computing market will grow from $12.2 billion in 2016 to $53.98 billion in 2021. According to a report by MarketsandMarkets, a consulting firm specializing in market research, performance technology has been widely used in a variety of industries, and pointed out that the market demand for software for facial feature extraction is on the rise. Emotional computing is also known as emotional intelligence or artificial emotional intelligence. Although many people are not familiar with this category, academic researchers have found a lot of uses. Tokyo University professor Toshihiko? Yamasaki plans to develop a machine learning system to evaluate the quality of TED speech videos. If a TED speech can resonate with a human audience, this is of course a good thing. On the surface, this project seems too abstract for computer analysis. But Professor Yamasaki hopes his system will learn to watch the speech video and predict the user's reaction to the presentation. Can the machine learning system accurately assess the speaker's emotional persuasiveness? Yamasaki and his colleagues came up with a way to analyze the relationship of "multimodal features including linguistic and acoustic features" through a database of 1646 TED speech videos. This experiment was very successful. The result of this method is: "Based on the sentiment analysis method, the average accuracy of the significance macro is significantly improved to 93.3%." A machine has been able to predict whether a person will emotionally connect with others. The authors point out in their report that these findings can be used for recommendations or as feedback to the speaker to improve the quality of their public presentations. However, the practicality of emotional computing goes far beyond what people are currently presenting. This may also change the way they learn. Researchers from North Carolina State University explored the possibility of a link between a student's emotional state and learning ability. Their software accurately predicts the effectiveness of online tutoring by analyzing student facial expressions. The software records and analyzes facial movements such as eyebrows, eyelid tightening, and dimples in the mouth to determine whether a student is listening carefully, being stumped, and learning. The researchers concluded that "facial expression analysis has enormous potential for educational data mining." This technology is increasingly being used in the private sector. AffecTIva is a company founded in Boston to develop emotion recognition software. When asked to comment on this emerging technology, AffecTIva's chief marketing officer Gabi?Zijderveld explained in an interview with this article: "Our software measures facial expressions. So basically all you need is to run us. Software, then you can record your face and analyze it through the camera. We can do this in real time, or we can watch the video to analyze the data in the video and feed the data back to the user." This technology has special significance for the advertising industry. Zijderveld said: "We have some products that allow you to measure the reaction of consumers or viewers to multimedia. You can let many people watch ads and then collect their emotional reactions so that you can collect data and let you know if your product is Welcome. Then you can make the appropriate adjustments." Zijderveld said this was the company's first market motive. However, they have packaged their core technology in a software development kit or sdk. This allows other companies to integrate emotional detection systems into whatever they are developing. By licensing its technology to other companies, AffecTIva is now rapidly expanding their products into a variety of markets, including games, education, robotics and medical swords. Their core technologies are also being used in human resources, such as online video. Recruitment. The software can incorporate this data into the recruitment decisions of the company's human resources department by analyzing the emotional response of the interviewer. Richard? Yonck is the founder and president of Future Intelligence Consulting, and the author of "The Relationship between Us and Technology." “The concept of emotional economy is what I researched and explored in the book The Core of a Machine, and it will develop as an ecosystem of emotionally-aware companies, systems, and services. Yonck accepts this. The article said in an interview: "This will quickly expand into a multi-billion dollar industry and lead an emotional response and potential exploitation infrastructure at the individual, commercial and political levels. †According to Yonck, these sentiment aware systems will be better able to predict demand, increase efficiency, and reduce stress and misunderstanding. AffecTIva is the only company that can profit from this “emotional economyâ€. The company has created the world's largest emotional database. Zijderveld said: "We have analyzed more than 4.7 million faces in 75 countries." "First, this is the data, the data we collected through permission." Therefore, everyone chose to analyze their faces. This huge database is crucial for deep learning research. If the data is not sufficient, the conclusions drawn by the software will be inaccurate. According to Zijderveld, "If you don't have a lot of data from all ages, genders, and races, then your algorithm will only tend to be in one direction." This vast database has used cultural insights to reveal how people express their emotions. Zijderveld explained: "Obviously everyone knows that women are more expressive than men." But our data confirms this, but not only that, but it also shows that women smile longer. They tend to smile more often. The difference brought about by regional differences is also one aspect. Yonck believes that emotional computing will inspire unimaginable forms of innovation that will evolve at a faster rate. He explained, "As companies, software, systems, and services evolve, they will support and make as many of the emotion-aware technologies that were previously impossible. This has led to a spiral of increasingly complex products. Just like the early computer technology." Those interested in emotional technology will soon be able to interact with them. Hubble? Connected unveiled the Hubble? Hugo smart camera at several trade shows this year. Hugo is known as "the world's first smart camera", this smart camera is equipped with the emotional AI video analysis system provided by Affectiva. By identifying the user's face, the product can understand their feelings, receive voice commands, monitor the situation in the home, and act as a photographer and video recorder. These recorded media files can be transferred to the cloud. The company's website describes Hugo as "a friend who is with you at home." Although he saw the potential of artificial intelligence to improve efficiency and expand the market, Richard?Yonck warned that artificial intelligence technology is not without traps. Yonck said: "It is vital that we need to be clear that as we develop these systems, we are entering a very unknown area and creating problems that we have never faced before." "We should focus on Ensuring that artificial intelligence develops in a way that represents human values ​​and ideals."
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