AI kiss (Artificial Intelligence Interaction Perception System) is an emotion computing and deep learning technology. Based on the analysis of users’ language, expression and behavior data, it realizes high-precision emotional feedback and individualized interaction. In 2023, the global affective computing market size is 5.2 billion US dollars and will grow to 15.3 billion US dollars in 2027, with a compound annual growth rate of 24.1%. For instance, the AI emotion recognition system of the American company Affectiva can identify 42 kinds of facial micro-expressions through a camera with an accuracy of 87%. It has also been applied to depression screening in medicine, which has increased the diagnostic efficiency by 30%.
In consumer electronics, AI kiss technology has been used in smart speakers and virtual assistants, significantly enhancing the user experience. Amazon Alexa has increased the degree of satisfaction of its users by 22% through its emotional analysis algorithm. Its 2022 financial report shows that the sales of its products that have emotional interaction functions have been enhanced by 35%, and its revenue has increased by 1.8 billion US dollars. In addition, Chinese technology company iFLYTEK’s “Xiaoyi” AI guidance system, in combination with AI kiss technology, can complete the diagnosis of a patient’s symptoms within 30 seconds with an accuracy rate of 92%. It helps over 500,000 individuals daily and saves medical institutions around 40% of human resource costs.
AI kiss is applied in optimizing advertisement positioning by means of analyzing consumer sentiment data in marketing. According to a McKinsey report, the click-through rate of brand advertisements that utilize emotional computing technology has increased by 17%, and the conversion rate has also increased by 12%. For instance, Coca-Cola launched the “AI Emotion Bottle” campaign in 2021. Through the AI kiss technology, it real-time scanned the emotional keywords (such as “happiness” and “fatigue”) of social media users, dynamically generated personalized advertisement copy, which increased the participation volume of the campaign by 130% and the sales volume by 8.5% compared to the last period.
In industrial use, AI kiss technology is used to enhance the collaborative efficiency of robots. KUKA of Germany’s AI collaborative robot LBR iisy, which is equipped with an emotional perception module, can recognize the body language and voice commands of the operator, reducing the production line failure rate by 25% and the task execution speed by 18%. In 2023, after Tesla’s factory introduced this technology, one assembly line’s capacity was enhanced by 12%, and the annual cost was saved by over 30 million US dollars.
The most important competitiveness of ai kiss is multimodal data processing. Taking Microsoft Azure Cognitive Services as an example. Its sentiment analysis API is capable of processing text (with the support of 112 languages), speech (with a 95% recognition accuracy rate), and image (with the resolution of 1080P) data at the same time. The response time is less than 400 milliseconds, and the cost of a single call is $0.001. This technology has made breakthroughs in the financial services industry. Royal Bank of Canada uses AI kiss to analyze customer call records, identify potential complaint risks, reduce the customer churn rate by 15%, and increase the annual profit by 270 million Canadian dollars.
In the future, along with the popularization of 5G networks (transmission rate up to 10Gbps) and the improvement of computing power of edge computing devices (e.g., NVIDIA Jetson AGX Orin 275 TOPS), AI kiss’s real-time performance will be even better. Research suggests that by 2025, intelligent products with emotional computing features will cover 65% of the world’s population, driving human-computer interaction from “functional satisfaction” to “emotional resonance” and reshaping the ecosystem of the digital economy.